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Job Title: Data Engineer (Analyst) Experience: 2.5 to 5 Years Location: PAN India (Remote/On-site as applicable) About the Role: We are looking for Data Engineer (Analyst) to build and maintain reliable data pipelines and analytics-ready datasets that power BI reporting, product insights, and business decision-making. You’ll work across multiple data sources, model clean reporting layers, and ensure data quality end-to-end. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines (batch and incremental) using SQL + Python Integrate data from databases, APIs, Saa S tools, event data, and flat files Design analytics-ready data models (star schema/marts) for self-serve reporting Create and optimize transformations in a cloud warehouse/lakehouse (e.g., Snowflake, Big Query, Redshift, Synapse, Databricks ) Partner with stakeholders to define KPIs, metric logic, and reporting requirements Maintain dashboards and reporting outputs in tools like Power BI, Tableau, Looker, or Sigma Implement data quality checks , monitoring,



alerts, and documentation to keep datasets trusted Tune performance and cost (incremental loads, partitioning, query optimization, file formats) Required Skills: Strong SQL skills (CTEs, window functions, joins, aggregations, optimization) Strong Python skills for transformations and automation Hands-on experience with at least one cloud platform: AWS / Azure / GCP Experience with a up-to-date data warehouse/lakehouse (Snowflake/Big Query/Redshift/Synapse/Databricks) Solid understanding of ETL/ELT patterns (incremental loads, retries, idempotency, basic CDC) Comfort with data modeling for analytics and BI reporting Experience building stakeholder-friendly reporting in a BI tool (Power BI/Tableau/Looker/Sigma) Nice to have: Orchestration tools: Airflow, dbt, Dagster, Prefect, ADF, Glue , etc. Streaming/event data: Kafka, Kinesi

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📌 Data engineer (Nellore)
🏢 Canopus Infosystems - A CMMI Level 3
📍 Nellore