Job Description:

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

Query Optimization: Solid 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: Robust Python skills for scripting, automation, and data

manipulation using libraries such as pandas, PySpark, and NumPy.

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 Bengaluru (India)
🏢 Acme Services
📍 India