Key Responsibilities
 ● Design and develop scalable BI and data models to support enterprise analytics.
 ● Lead data platform migration from legacy BI systems to modern cloud architectures.
 ● Architect and manage data lakes, batch and streaming pipelines, and real-time integrations via Kafka and APIs. 

● Support data governance, quality, and access control initiatives.
 ● Partner with data engineers, analysts, and business stakeholders to deliver reliable, high-performing data solutions.
 ● Contribute to architecture decisions and platform scalability planning

<h2 style="margin-left:0px;">Qualifications</h2>

● Should have 10-15 years of relevant experience.  

● 10+ years in BI, data engineering, or data architecture roles.

● Proficiency in SQL, Python, Apache Spark, and Kafka.

● Strong hands-on experience with AWS data services (e.g., S3, Redshift, Glue, EMR).

● Track record of leading data migration and modernization projects.

● Solid understanding of data governance, security, and scalable pipeline design.

● Excellent collaboration and communication skills.

Good to Have
 ● Experience with enterprise data warehouse (EDW) modeling and architecture.
 ● Familiarity with BI tools like Power BI, Tableau, Looker, or Quicksight.
 ● Knowledge of lakehouse, data mesh, or modern data stack concepts.

Data Analytics

Key Responsibilities ● Design and develop scalable BI and data models to support enterprise analytics. ● Lead data platform migration from legacy BI systems to modern cloud architectures. ● Architect and manage data lakes, batch and streaming pipelines, and real-time integrations via Kafka and APIs. ● Support data governance, quality, and access control initiatives. ● Partner with data engineers, analysts, and business stakeholders to deliver reliable, high-performing data solutions. ● Contribute to architecture decisions and platform scalability planning Qualifications ● Should have 10-15 years of relevant experience. ● 10+ years in BI, data engineering, or data architecture roles. ● Proficiency in SQL, Python, Apache Spark, and Kafka. ● Strong hands-on experience with AWS data services (e.g., S3, Redshift, Glue, EMR). ● Track record of leading data migration and modernization projects. ● Solid understanding of data governance, security, and scalable pipeline design. ● Excellent collaboration and communication skills. Good to Have ● Experience with enterprise data warehouse (EDW) modeling and architecture. ● Familiarity with BI tools like Power BI, Tableau, Looker, or Quicksight. ● Knowledge of lakehouse, data mesh, or modern data stack concepts.

Data Analytics in Chennai (UID-11469)

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Job Description for Data Analytics

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