- AWS Data Engineering: Strong experience in developing and maintaining AWS-based data solutions.
- Amazon Redshift: Hands-on expertise in data warehousing, query optimization, and performance tuning.
- PySpark &
- SQL: Solid proficiency in large-scale data processing, transformations, and complex SQL queries.
- Apache Airflow: Practical experience in designing, scheduling, and managing automated data workflows.
- Apache Iceberg: Working experience with Iceberg tables, data lake architectures, and large-scale datasets.
- Data Engineering Architecture:
Proven ability to design scalable, reliable, and high-performance data pipelines and architectures.
What We're Looking For ✅
- Strong hands-on experience across all mandatory technologies.
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Experience designing and implementing end-to-end ETL/ELT pipelines.
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- Good understanding of AWS cloud services, data lakes, and data warehousing concepts.
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- Ability to independently manage data engineering tasks and troubleshoot complex data challenges.
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- Candidates based in Chennai will be preferred.
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- Must be comfortable working from the office five days a week.
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- Must be available for immediate joining and technical interviews.