Job Description:

- Data Pipeline Optimization: Hands-on experience building, maintaining, and optimizing robust end-to-end pipelines for data transformation

- Query Optimization: Strong proficiency in writing and optimizing complex SQL queries

- for performance tuning across large datasets; experience with query execution plans,

- indexing strategies, and partitioning.

- Big Data Technologies: Experience working with distributed data processing

- frameworks such as Apache Spark, Hadoop, or EMR; comfortable handling high-volume,

- high-velocity data environments.

- Cloud Data Platforms: Hands-on experience with cloud-based data warehousing and

- analytics platforms such as AWS (Redshift, S3, Glue), Snowflake, or Azure Synapse.

- Data Cataloging & Governance: Experience implementing and maintaining data

- catalogs (e.g., AWS Glue Data Catalog, Apache Atlas,



Collibra, or Alation) to ensure

- data discoverability, lineage tracking, and metadata management.

- Python for Data Analytics: Solid Python skills for scripting, automation, and data

- manipulation using libraries such as pandas, PySpark, and Num Py.

- Data Quality & Monitoring: Experience implementing data quality checks, validation

- frameworks, and pipeline monitoring/alerting to ensure reliability and integrity of data

- products.

- Stakeholder Collaboration: Ability to work closely with Data Scientists, ML Engineers, and

- Product teams to understand data requirements and translate them into scalable

- engineering solutions.

📌 Sr Data Analyst (India)
🏢 Acme Services Private
📍 India