Data Engineer Female Graduate Jobs in Chennai

Required Qualifications : 3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc. Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc. Experience with Hadoop Ecosystem, Kafka, PCF cloud services Familiar with big data and machine learning tools and platforms Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc. Design data pipelines and data robots, take a vision and bring it to life Master data engineer; mentors others; works closely with IT architects to set strategy and design projects Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts Redesign data flows to prevent recurring data issues Strong analytical and problem-solving skills Possess excellent oral and written communication skills, as well as facilitationand presentation skills, and engaging presentation style. Ability to work as a global team member, as well as independently, in achanging environment and prioritize. Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users. Ability to deliver work within deadlines. Experience with agile/lean methodologies Experience working independently and with minimal supervision Experience with Test Driven Development and Software Craftsmanship Experience with GitHub, Accurev, or other version-control systems Experience with Putty Experience with Datastage Strong Communications skills Ability to illustrate and convey ideas and prototypes effectively with team and partners Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas Key Skills Required - Data Engineer- Python / PySpark / Scala- SQL & Hive- Hadoop Ecosystem- Data Pipeline Design & ETL Development- Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)- Kafka / Streaming Data Processing- Terraform (Infrastructure as Code)- DataStage or Similar ETL Tools- Version Control (GitHub or equivalent)- Agile Methodologies- Strong Analytical & Problem-Solving Skills- Stakeholder Collaboration & CommunicationNice to Have:- Cloud Composer, Cloud SQL, Pub/Sub- BI Tools (Alteryx, QlikSense)- Machine Learning Platform Exposure- Test Driven Development (TDD)- Mentoring & Technical Leadership

Location: Guindy, Chennai, Tamil Nadu, IndiaExperience: 36 yearsReports To: BI ManagerJob Type: Full-timeKey Responsibilities Build and maintain scalable data pipelines and ETL processes for BI needs. Optimize data models and ensure clean, reliable, and well-structured data for Power BI. Integrate data from various internal systems (web apps, databases, accounting platforms). Collaborate with BI analysts and managers to meet reporting requirements. Automate data refreshes and performance-tune dashboards. Maintain metadata, data dictionaries, and lineage documentation.Required Skills Strong SQL development and performance tuning skills. Hands-on experience with Power BI dataset structuring and integration. Familiarity with Python for ETL, automation, or data cleaning tasks. Knowledge of APIs and scripting for data ingestion. Understanding of data warehousing and modelling techniques (star/snowflake schemas). Experience working with Azure, SSIS, or any cloud-based data services is a plus. Familiarity with version control systems like Git

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 Title: Senior Data Engineer Experience: 5+ YearsLocation: Chennai (Hybrid)Budget: Up to 30 LPAJob SummaryWe are looking for a highly skilled developer with strong hands-on experience in Databricks, PySpark, Python/Java, Web Services, and SQL. The ideal candidate will work closely with architects, tech leads, and business teams to design, build, optimize, and support scalable data-driven solutions. This is a long-term role with a strong focus on performance, cost optimization, and production support.Key Responsibilities / Essential Job FunctionsUnderstand end-to-end system architecture and support operations through monitoring and dashboardsCollaborate with Architects and Tech Leads on solution design and implementationContinuously monitor and optimize system cost and performanceWork closely with Business Analysts on integration requirementsCoordinate with TCOE teams for defining test scenarios and supporting testing activitiesTroubleshoot performance and functional issues across environmentsDocument key technical decisions and maintain detailed design documentationHandle fast-paced project deliveries and support production issues as requiredQuickly learn and adapt to new technologies and frameworksEnsure prompt and effective communication with stakeholdersOther ResponsibilitiesCreate, document, and maintain project artifactsFollow industry standards, methodologies, and best practicesSafeguard company assets and sensitive information (PI)Report any suspected security or compliance issues promptlyAdhere to company compliance and governance policiesMaintain focus on customer service, efficiency, quality, and business growthCollaborate effectively with cross-functional teamsPerform other duties as assignedMinimum Qualifications & Job RequirementsMinimum 5+ years of IT development experienceStrong analytical and problem-solving skillsProven experience in solution design, code reviews, and mentoring junior engineersStrong backend development experience on data-driven projectsExcellent SQL and database skillsStrong team player with good communication skillsMandatory Technical SkillsPython / PySparkSQL / PL-SQLDatabricksJava or C#Preferred / Good-to-Have SkillsAzure CloudKafkaNode.jsAzure Data Factory

Role: Bigdata Developer - Scala SparkExp: 5+ YrsMode of Work: WFO All 5 daysLocation: Chennai/Bangalore/PuneInterview: Any one Level F2FJob Description: Total IT / development experience of 3+ years Experience in Spark (Scala-Spark ) developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB Deep knowledge of Scala-Spark libraries to develop and debug complex data engineering challenges Experience in developing sustainable data driven solutions with current new generation data technologies to drive our business and technology strategies Exposure to deploying on Cloud platforms At least 2 years of development experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark-Scala At least 2 years of development experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS At least 2 years of developing applications in Agile with Monitoring, Build Tools, Version Control, Unit Test, Unix Shell Scripting, TDD, CI/CD, Change Management to support DevOps