ETL Job Vacancies in Hyderabad

Data Tester HyderabadExperience: 4+ years Location: Hyderabad Employment Type: Full-timeAbout the RoleWere looking for a skilled Data Tester to ensure data accuracy, integrity, and reliability across data warehouses, integrations, and curated business-ready layers. The ideal candidate will have hands-on experience in ETL/ELT testing, SQL-based validation, and data quality assurance within modern cloud environments.Key ResponsibilitiesTest and validate data warehouses and integrations across multiple data sources.Verify Business-Ready Datasets (BRD) for correctness and completeness.Develop and execute test cases for ETL/ELT pipelines, ensuring data consistency.Validate data models and data flow from source to analytical layer.Conduct end-to-end integration testing, ensuring compliance with business rules and transformation logic.Collaborate with data engineers and analysts to define testing strategies and resolve defects.Perform performance and scalability testing for data pipelines.Automate data validation and regression testing using suitable tools and frameworks.Maintain clear test documentation and reporting for transparency and traceability.Required SkillsProven experience in data warehouse testing and ETL/ELT validation.Hands-on with data testing tools and data quality frameworks.Strong SQL skills for querying and validating data (preferably in Google BigQuery or other cloud platforms).Excellent attention to detail and analytical thinking.Strong collaboration and communication skills.Preferred SkillsFamiliarity with Airflow for workflow orchestration.Working knowledge of Python for test automation.Understanding of metadata management and data governance processes.Exposure to automation tools for data testing. Interested candidates can apply at:careers@rachisutech.com

We are seeking an experienced Data Modeler with strong expertise in the Private Equity and Investment Management domain. The ideal candidate will have hands-on experience in canonical data modeling, Azure Databricks (Medallion Architecture), and financial data governance. This role requires close collaboration with data engineering, business stakeholders, and product owners to design scalable, accurate, and consistent data solutions for enterprise-wide usage.Key ResponsibilitiesDesign and implement canonical data models to support private equity and investment business processes.Develop logical and physical data models aligned with enterprise architecture and cloud strategy.Work within Azure Databricks Medallion Architecture (Bronze/Silver/Gold layers) to design efficient and scalable data flows.Collaborate with data engineering teams to implement models and optimize performance.Gather requirements from business stakeholders and product owners; translate them into robust data models.Ensure data standardization, lineage, and governance across applications and integrations.Create and maintain detailed documentation of data models, metadata, and business definitions.Provide thought leadership on canonical modeling, financial data integration, and cloud-based data architecture.Required Qualifications & Skills8-12 years of experience as a Data Modeler or in a similar data architecture role.Strong domain expertise in Private Equity, Investment Management, or Asset Management (fund structures, portfolio data, investor reporting, valuations).Proven expertise in canonical models and developing logical/physical data models.Hands-on experience with Azure Databricks & Medallion architecture.Proficiency in SQL, relational databases, dimensional modeling, and ETL/ELT processes.Strong background in data governance, metadata management, and data cataloging.Knowledge of financial data standards and regulatory reporting frameworks.Excellent communication and stakeholder management skills.Must-Have ExperiencePrivate Equity / Investment domain expertise.Cloud-based architecture (Azure preferred).Financial regulatory reporting knowledge.Educational QualificationBachelor of Engineering / Bachelor of Technology (B.E./B.Tech.) or equivalent in Computer Science, Engineering, or related field.

About the RoleWe are looking for a highly skilled and experienced Senior Data Engineer to join our team in Hyderabad. The ideal candidate will bring strong technical expertise in building scalable data platforms and pipelines using modern technologies such as Python, Scala, AWS, Redshift, Terraform, Jenkins, and Docker. This role demands a hands-on professional who thrives in a fast-paced, collaborative environment and is eager to solve complex data problems.Key ResponsibilitiesDesign, build, and optimize robust, scalable, and secure data pipelines and platform components.Collaborate with data scientists, analysts, and engineering teams to ensure seamless data flow, integration, and availability across systems.Develop infrastructure as code using Terraform to automate provisioning and environment management.Manage containerized services and workflows using Docker.Set up, manage, and optimize CI/CD pipelines using Jenkins for continuous integration and deployment.Optimize performance, scalability, and reliability of large-scale data systems on AWS.Write clean, modular, and efficient code in Python and Scala to support ETL, data transformation, and processing tasks.Support data architecture planning and participate in technical reviews and design sessions.Must-Have SkillsStrong hands-on experience with Python, Scala, SQL, and Amazon Redshift.Proven expertise in AWS cloud services and ecosystem (EC2, S3, Redshift, Glue, Lambda, etc.).Experience implementing Infrastructure as Code (IaC) with Terraform.Proficient in managing and deploying Docker containers in development and production environments.Hands-on experience with CI/CD pipelines using Jenkins.Strong understanding of data architecture, ETL pipelines, and distributed data processing systems.Excellent problem-solving skills and ability to mentor junior engineers.Nice-to-HaveExperience working in regulated domains like healthcare or finance.Exposure to Apache Airflow, Spark, or Databricks.Familiarity with data quality frameworks and observability tools.

******** Contact Me or Share your Resume - aman.tyagi@firstwave-tech.com ****************************************7302599936 DMJob Role - Sr. Data AnalyticsExperience - 7 years to 14 yearsLocation - HyderabadMode - Hybrid Notice Period - Immediate Joiner to 15 DaysSkillset looking for Sr Data QA below:Programming Language: - SQL like T-SQL or Pl/SQL (Must), Python (Nice to have)Skills: - QA Process, Mentoring, ETL Testing, Data Validation, Data Quality, RCM Knowledge Or US Healthcare Knowledge, Hands on Agile Process, Test strategy and Planning, CI/CD Integration, Data reconciliation experienceTools: - SSMS, Toad, Any BI Tools (Like Tableau, Power Bi, Etc), SSIS, ADF, Snowflake (Nice to have)Data testing tools (Nice to have): Great Expectations Deequ dbt (with tests) Pytest (for data scripts)US Healthcare not mandatoryJob Summary The Senior Quality Assurance Engineer will bring comprehensive quality testing expertise to agrowing and innovative organization, designing and documenting testing scenarios, creatingtest plans, and reviewing quality specifications and technical design for both existing and newanalytics products. The Sr. QA Engineer will be an integral part of our growing analyticsproduct team, working with new technology in both manual and automation testingenvironments. The Sr. Quality Assurance Engineer will design testing procedures to ensure our analyticsmeets established quality standards using best practices and industry standard practices.Develops and writes testing scripts to ensure our analytics perform as expected whilemonitoring and documenting testing results according to best practice procedures.Essential Function & Task Perform test execution (both manual and automated) for healthcare analytics includingextraction and load processes, data transformations, data models, and dashboarding. Create detailed, comprehensive, and well-structured test plans and test cases. Collaborate closely with Data & Analytics team members to ensure that production systemdefects are documented, an appropriate testing plan is established, and defects are resolvedin a timely manner. Drive data quality programs and assist in the implementation of company automated testframeworks and solutions within an agile team structure. Performs special projects and other duties as assigned.Education & Experiences Requirement Bachelors degree in computer science, Information Technology, Data Science, Math,Finance, or a related field, or equivalent training and/or experience. Minimum(5) years ofexperience as a quality assurance engineer or data analyst with strongdata quality orientation. E Experience with testing in cloud-native systems (MS Fabric preferred)Preferred qualifications QA related certifications preferred. Strong understanding of US healthcare revenue cycle and billing.Knowledge skill & Abilities Proficiency with using a variety of test case management tools in Azure DevOps and Agiledevelopment tools and process (Azure Dev Ops and Confluence). Proven QA experience designing quality assurance testing for ELT process, dashboard tools(ideally Power BI), large scale data warehouse projects. Knowledge of data quality frameworks, to monitor and enforce data quality standards. Experience with automated testing tools. Proven experience building test plans based on business requirements and technicalspecifications The ability to test the performance and scalability of data systems, especially when handlinglarge volumes of data. This includes checking for speed, reliability, and system bottlenecks indata processing and analytics. Expert SQL in relational databases (SQL Server, MS Fabric) with the ability to independentlyexplore, query, and validate data. Ability to read and understand existing queries as well as create new queries. Strong analytical skills. Strong process improvement & organizational skills. Strong time management skills. Working knowledge of project management specifically Azure DevOps. Ability to identify opportunities that drive execution of action plans to close gaps and movekey priorities forward. Ability to influence and gain support from stakeholders through effective communication andrelationship building. Ability to communicate technical information to technical and nontechnical personnel atvarious levels in and across the organization. Ability to exercise sound judgment and handle highly sensitive and confidential informationappropriately. Ability to remain results oriented and work within a collaborative and dynamic high pacedenvironment.******** Contact Me- aman.tyagi@firstwave-tech.com ****************************************7302599936 DM

Job Openings for 5 AWS Developer Jobs with minimum 8 Years Experience in Chennai, Pune, Greater Hyderabad, Delhi NCR, having Educational qualification of : Professional Degree with Good knowledge in AWS, ETL Consultant, ETL Tool etc.

Company Descriptioninsightsoftware is a global provider of comprehensive solutions for the Office of the CFO.We believe an actionable business strategy begins and ends with accessible financial data. With solutions across financial planning and analysis (FP&A), accounting, and operations, we transform how teams operate, empowering leaders to make timely and informed decisions. With data at the heart of everything we do, insightsoftware enables automated processes, delivers trusted insights, boosts predictability, and increases productivity. Learn more at insightsoftware.comJob DescriptionLocation: Hyderabad (Work from Office)Working Hours: 5:00PM - 2:00AM IST Position SummaryThe Team Lead, Data Conversion will build positive relationships with customers and serve as a primary point of contact for large scale complex product implementations and business-led change initiatives. The role will include, but is not limited to:10+ years of total experience in IT and at least 9+ yrs working experience in any ETL Tool.Leading the data conversion team to implement conversion implementation project deliverables.Collaborating with client operations and executive teams, confirming business requirements, and aligning to technical requirements.Understanding project status and facilitate achievement of project objectives and priorities.Identifying process gaps and facilitating continuous refinement of conversion methodology.Overseeing data-related initiatives and identifying innovation and improvement opportunities.Adapting to and incorporating best practices across the conversion team while documenting and communicating to impacted stakeholders.Acting as an escalation point for active client engagements.Facilitating the accurate and timely integration mapping of client data from source system to our industry-leading platform.Applying and staying within the requirements of project governance, standards, and processes.Working in collaboration with project man

we are in the lookout for a seasoned Cloud Data Lead. We are eager to connect with you if you have extensive experience in cloud platforms, data architecture, and leadership!

We are Looking for Software Engineers Freshers and Experience

We have vacant of 6 Data Engineer Jobs in Gachibowli, Hyderabad, for Freshers Educational Qualification : B.Tech/B.E, Any Master Degree, M.C.A, M.Tech Skill Data Warehousing,SAS-Statistical Analysis System,Informatica,Computer Science,ETL etc.

Need Architect/Senior level with below Hadoop SME Requirements 1. Senior/Lead level in Hadoop2. Experience with On-prem Hadoop and/or non-GCP Hadoop distributions.3. Must have experience with Batch and Streaming ETL workflows on non-GCP/on-prem Hadoop4. Experience with Spark and legacy MapReduce apps (scripts and workflows)5. Experience with Core Hadoop migrations to GCP/Dataproc in addition to data lift-shift

Create and manage our data infrastructure and tools, including collecting, storing, processing and analyzing a range of data and data systems. You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results. Youll also make this data easily accessible across the company and usable in multiple departments.

**Preference will be given to the candidates who can join on or before 1st of October, 2022**You will:Write excellent production code and tests and help others improve in code-reviewsAnalyze high-level requirements to design, document, estimate, and build systemsCoordinate across teams to identify, resolve, mitigate and prevent technical issuesCoach and mentor engineers within the team to develop their skills and abilitiesContinuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processesYou have:For (Full stack):2 - 10 Years of experienceStrong with DS & AlgorithmsHands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.Experience with AWS.For (Backend):2 - 10 years of experienceHands on product development experience using Java/ C++/PythonExperience with AWS,SQL,GITStrong with Data structures and AlgorithmsAdditional nice to have skills/certifications:For Java skill set:Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, PerlFor Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, RedshiftFor (Data Engineering):2 - 10 years of experienceExperience with object-oriented/object function scripting languages: Python.Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, GlueMust be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)Experience in big data technologies like Hadoop, Map Reduce, Spark, etcExperience with Amazon Web Services and DockersFor (Geo Team):4 - 10 years of experienceExperience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etcExperience using object-oriented languages (Java, Python)Experience in working with different AWS technologies.Experience in software

Basic Qualifications5+ years of experience as a Data Engineer or in a similar role3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field3+ years of experience in SQL & PythonBachelor's degree in computer science, engineering, mathematics, or a related technical disciplineExperience with data modelling, data warehousing, and building ETL pipelinesProven track record of solving complex business problem with high quality & automated testing in agile environment.Experience using one of the big data technologies (Spark, EMR, Dbt cloud etc)Excellent communication & analytics skillsPreferred QualificationsExperience working with AWS big data technologies (EMR, Redshift, S3, Lambda, RDS)Experience working with SnowflakeDemonstrated strength in data modeling, ETL development, and data warehousingExcellent understanding of any other programming languages like Java or JavaScriptExperience working with one of big data schedulers like Airflow, Oozie, Azkaban etc.Experience in data streaming with Kafka, Spark Streaming and KinesisBasic knowledge on Containerization and Orchestration like Docker, KubernetesUnderstanding of python data libraries like NumPy, Scikit-Learn etc.Open to learn new technologies & AI libraries

Hiring for 2 Data Architect Jobs in Hyderabad with minimum 5 Years Experience,Required Educational Qualification is : Professional Degree with Good knowledge in Data Modeling,Data Architecture,ERwin, Azure,Etl etc.Notice Period : Immediate to 30 days

Roles and Responsibilities:1. Analyze Hadoop data pipeline codes and identify issues, provide fix recommendation2. Support ETL pipeline investigations to ensure data pipelines are working as per design3. Analyze cluster performance and investigate individual jobs impact to meet daily SLAs4. Design information flow for new reporting requirements and build data architecture5. Develop data pipelines to support reporting products6. Support data analysis for reporting products7. Support disaster recovery process during outagesRequired Skills:1. 10 -15yrs. relevant experience in the listed skills: Python/Big data/ Hadoop/ETL/ADF/SCALA2. Experience in Reporting / Data disaster recovery management3. Experience in Apache Druid is recommended4. Bachelors/ masters in computer science5. Exposed in Big data monitoring tools Desired Candidate Profile.

we are hiring AWS LAMBDA,ETLLocation: Hyderabad near MadhapurNp- Immediate-15daysrequired skills:Strong skills with ETL using AWS LAMBDARedshift DBExp with MS SQLStrong TABLEAU.

Position: Data Engineer with Python.Location: RemoteDuration: 6 to 12 months+Work hours: 2/3 pm to 10/11 pm ISTType - ContractMinimum 5+ years in Data Engineer role.Expert in PythonFamiliarity with Spark, PySpark.Knowledge in at least any one of the Cloud platform - Azure or GCP or AWSExperience in writing complex and efficient ETL jobs and Data pipelines.Excellent in writing complex SQL Queries and ScriptsProven expertise in modern Data Architecture, Data Modeling, Database architecture, Database Design, Database programming (SQL, Python, etc..)Experience with analytics platforms in Cloud (Azure, GCP, AWS etc..)Experience designing and developing ETL and ELT processes in a variety of platforms (e.g. Azure Data Factory, Data Bricks, etc....)Experience with Data Collaboration Platforms (e.g. Calibra, Alation) and Automated meta data management solutionsExpertise in architecting Master Data Management, Operational Data Stores, Data Lakes, Data Warehousing solutions.

As the Data Architect Lead Engineer, you will be primarily responsible for developing the full life cycle of a Enterprise Data solution (data movement and visualization), including requirements analysis, platform selection, technical architecture design, application design and development, testing, and Test and Deployment in a Cloud based environment. The position will focus on building out a consumer insights strategy and building advanced analytics to deliver capabilities against that strategy using industry best practices meeting functional, non-functional and performance related requirements.The position requires to develop DFTs, Pipelines, datasets, deployment, execution, monitoring and support the data flow from source to target.The position requires to review the work of team and guide team in developing of code with best possible standards. Experience using advanced software and system design skills in an environment using Microsoft Azure (Azure SQL Managed Instance, Data Factory, Azure Monitoring, Azure DevOps, Event Hubs, Azure AD Security, Azure Virtual Machines, Azure Monitoring/Log Analytics).6+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools and scripting.Experience in MS SQL Server DB.Experience writing complex SQL queries (to clean and transform data)Demonstrated excellent written/oral communication skills, technical documentation skills, user liaison skills, and personal interaction abilities