2128 Data Engineer
In All Media Inc2+ yrsBengaluru, Pune, HyderabadRemoteDirect career pageEst. 8–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end migration of ~1,000 datasets to Snowflake, upgrading orchestration from Apache Airflow 2 to 3.
- Modernize legacy data storage by migrating Hive datasets to Apache Iceberg using Snowpark Connect.
- Manage, optimize, and ensure performance of data pipelines and streaming infrastructure (Kafka) across cloud regions, ensuring data quality and reliability.
Minimum Requirements
- Minimum 2+ years hands-on data engineering experience with large-scale datasets.
- Proficient in Python and advanced SQL (complex joins, CTEs, window functions).
- Experience with Snowflake data modeling, Apache Airflow, Apache Kafka, Apache Spark/PySpark, Apache Iceberg, Apache Parquet, and AWS S3.
- Must demonstrate AWS WorkSpace connectivity with a required test screenshot submission.
Ideal Candidate Profile
- Experienced in executing large-scale data platform migrations, particularly to Snowflake and Airflow upgrades.
- Skilled in cloud-based data lake modernization and streaming infrastructure reconfiguration across cloud regions.
- Capable of working independently in a fast-paced, fully remote environment with required overlap until 12:00 PM PT to collaborate with core engineering teams.