Advanced Data Architect Position

9 hours ago

Erode, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,10,00,000

Senior Data Engineer Job

We are seeking a skilled Senior Data Engineer to fill this critical role. As a key member of our data engineering team, you will be responsible for designing and optimizing data pipelines, architecting scalable cloud and big data solutions, and ensuring data governance and security.

  • Data Pipeline Design & Optimization: Build ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
  • Cloud & Big Data Solutions: Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.
  • Data Modeling & Governance: Create robust schemas, ensure compliance (GDPR/HIPAA), and enforce security best practices.
  • Leadership & Collaboration: Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.
  • Performance & Security: Optimize queries, implement RBAC & IAM, and ensure disaster recovery/high availability standards.

Key Requirements:

  • 10-12 years of experience in data engineering or related field.
  • Strong expertise in ETL, Cloud, Data Warehousing, and Big Data ecosystems.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.

Desirable Skills:

  • Programming: Python (primary), SQL (expert), Java (good-to-have)
  • Platforms: AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, Kafka
  • Tools: Airflow, StreamSets, DBT
  • Databases: MS SQL Server, MySQL, Hive, HBase

Why Us?

We offer a dynamic and challenging work environment that fosters growth and development. Our team is passionate about delivering innovative solutions that drive business results.

About the Role:

This is a senior-level position that requires a strong background in data engineering. The ideal candidate will have a proven track record of designing and implementing large-scale data pipelines and systems.

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