Data Warehousing Job Vacancies in Chennai

warehousing data analyst

Work mode : Hybrid Overall 4-9 yrs of IT experience preferably in cloudMin 3 years in Azure Databricks on development projectsShould be 100% hands on in Pyspark codingShould have strong SQL expertise in writing advanced/complex SQL queriesDWH experience is a must for this roleExperience in programming using Python is an advantageExperience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirementsShould be able to understand system architecture which involves Data Lakes, Data Warehouses and Data MartsExperience to own end-to-end development, including coding, testing, debugging and deploymentExcellent communication is required for this role

Dear candidates,Urgent Openings for Stores, Purchase, Supply chain for leading Core Manufacturing Industry in Chennai Exp - 0 to 6 yrsSalary : As per industry.Immediate joiners can contact HR Vino - 9384810696 [call or whatsapp] also you can walkin directly to the following addressEmail: hr1jjjobs@gmail.com

Cloud Data Engineering + Cloud Data Architecture + Data Integration Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices.GCP Expertise:Demonstrate proficiency in GCP tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architecture.Place : ChennaiExperience : 8+ YearsNo of openings : 2Skills : Data Integration, warehouse implementations , ETL/ELT Tools, Python, Data normalization and denormalization techniques.

Invitation for B2B Partnerships: Seeking Software Development Support! We are looking to collaborate with companies that can provide 10 skilled Data Engineers to support our data engineering requirements pipeline for Euoropean clients on a contract basis.Requirements:Expertise in data engineering, including data processing and ETL.Proficiency in SQL and NoSQL databases.Experience with Hadoop or Spark.Experience in AWS or Azure.Snowflake is an added advantage.If your company is equipped to provide top-notch Data Engineers, we invite you to submit your proposal with terms and conditions.Please contact us by email or Whatsapprakanalytics@gmail.com (or) 9900173022

Job Description AWS Data Engineer with min of 5 to 7 years of experience. Collaborate with business analysts to understand and gather requirements for existing or new ETL pipelines. Connect with stakeholders daily to discuss project progress and updates. Work within an Agile process to deliver projects in a timely and efficient manner. Design and develop Airflow DAGs to schedule and manage ETL workflows. Transform SQL queries into Spark SQL code for ETL pipelines. Develop custom Python functions to handle data quality and validation. Write PySpark scripts to process data and perform transformations. Perform data validation and ensure data accuracy and completeness by creating automated tests and implementing data validation processes. Run Spark jobs on AWS EMR cluster using Airflow DAGs. Monitor and troubleshoot ETL pipelines to ensure smooth operation. Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture. Collaborate with other members of the data engineering team to improve processes and implement new technologies. Stay up to date with emerging trends and technologies in data engineering and suggest ways to improve the team's efficiency and effectiveness.

Job PurposePlan, schedule, coordinate & execute testing activitiesResponsible for testing of systems to ensure delivery of Quality assured applications to production.Support Test Lead/ Test Manager in upward stakeholder management and day-to-day management of the QA & Test organizationJob ResponsibilitiesAssist with the planning and execution of Testing for a Project or BAU streamDevelop Test Plans, Status Reporting, Test Readiness Reviews and Test Completion Report as appropriateWork closely with off-shore team and on-shore team(s) to deliver projects to time, cost and quality requirements.Create data, conduct tests and analyze results to ensure that software meets or exceeds specified standards and /or customer requirements.Ensure that tests are successfully completed and documented and all problems are resolvedManage Risks and Issues associated with Testing engagementsQualificationsMinimum of 10 years of Testing experienceMust have strong analytical skills, reporting and problem solving skillsExcellent verbal and written communication skills(Must) Experience in Business intelligence and Data warehouse testing preferably in Hadoop Data Hub environment(Must) Expert in writing SQL queries and testing data flow across the data layers(Must) Expert in testing data quality, data integrity, data reconciliation and reporting solutions(Must) Good understanding on Data warehouse data models and creating test scenarios and cases(Preferred) Insurance (preferably general insurance) industry and product knowledge(Preferred) Experience in working with Agile teams(Preferred) Experience in DWH test automation with relevant tools.

10+ years' of experience in a technical role with expertise in data governance and data warehousing - such as setting up DataBricks as a Service modelProduction deployment experience with data governance solutions and hands-on experience with cloud data lakes.Experience with design and implementation of data warehousing technologies.Deep Specialty Expertise with scaling big data workloads that are performant and cost-effective - including technologies such as Delta LakeSupport customers by authoring reference architectures, how-to, and demo applicationsExperience working with Enterprise AccountsIntegrate Databricks with 3rd-party applications to support customer architectures.Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)Good communication Skillsif you are interested kinly drop a mail we reach us

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.

4 - 5 years of experience in Business Intelligence systems, Data Warehousing, Data Analysis and Software Implementation. Should have at least 3 years of experience in ETL Should have Hands-on experience in either Power BI, QlikSense, Or QlikView visualization reports. Experience in developing functional and Data specifications for BI reports. Participates in workstream planning process including inception, technical design, development, testing & delivery of BI solutions; Works with customers to develop and analyze BI needs; Understand the business requirements and determines optimum BI Solutions; Identifies and provides input to new technology opportunities that will have an impact on the enterprise-wide BI Systems. May perform analysis for a wide range of requests using data in different formats and from various platforms Researches business problems and creates models that help analyse these business problems. Recommends or provide input to standards, policies & procedures for the form, structure and attributes of the BI tools and systems Direct Customer handling is a plus. Hardworking and Self-motivated, ability to work independently and with the team. Willing to travel overseas as required.

About Company:It is a Los Angeles AWS Advanced Consulting Partner with Big Data, EMR and Redshift competency. Agilisium exists to help organizations accelerate their Data-to-Insights-Leap. To this end, company has invested in all stages of data journey: Data Architecture Consulting, Data Integration, Data Storage, Data Governance and Data Analytics. With advanced Design Thinking capabilities, a thriving Partner Eco-system and top-notch industry certifications, it is inherently vested in our clients success.Requirements In depth understanding and knowledge on distributed computing with spark. Deep understanding of Spark Architecture and internals Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark. Expertise in ETL processes, data warehousing and data lakes. Hands on with python for Big data and analytics. Hands on in agile scrum model is an added advantage. Knowledge on CI/CD and orchestration tools is desirable. AWS S3, Redshift, Lambda knowledge is preferred

Job Description :Senior MSBI Developer (SSIS) - BangaloreExperience required : 6 to 8 yearsLooking for immediate joiner (Work from home )SSIS with BFSI DomainLocation : Bangalore/ RemoteEducational : Any graduation- 6-8 years of work experience in designing and maintaining SSRS/SSIS environments Integrating, Migration, and conversions experience- Good experience in SSRS reports conversions of SSRS reports into crystal reports- Good experience in Architecture, team handling, and architecture flows.- Strong understanding and experience with Microsoft SQL Server database platform and SQL Server reporting and Analytics Services (SSRS, SSAS, and SSIS)- Hands-on experience with business intelligence, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.- Good experience/ Knowledge of admin ,Data modeling in OLAP plus working technical knowledge of current systems software, protocols, and standards, including SQL, TSQL, ODBC, .NET, and Business Intelligence Standards- Expert experience in creating and using store procedures, views and user-defined functions- Well experience in Data Extraction, Transforming, and Loading (ETL) using various tools such as SQL Server Integration Services (SSIS), Data Transformation Services (DTS)- Develop Queries for generating drill down reports in SSRS latest version- Experience in working on SSRS Upgrade Projects (Upgrade from old version to new) Strong aptitude for modern BI solution development using Power BI and SQL Server- Deep Understanding of dimensional data modeling concepts as well as data warehouse design and lifecycle management principles- Collaborate with Performance Improvement, Quality Systems, and stakeholders to analyze and define data requirements needed to support the business processes; verify accurate data reporting; and integrate the data requirements throughout the data systemsNeed Immediate joiners or 15 days notice period.