Data Engineer (Analyst)

Remote · India Full-time Mid Level Today

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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 modern data warehouse/lakehouse (Snowflake/BigQuery/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)

Build and maintain scalable ETL/ELT pipelines (batch and incremental) using SQL + Python
Integrate data from databases, APIs, SaaS 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, BigQuery, 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)

AWSBigQueryDatabricksGCPPythonRedshiftSQLSnowflakeSynapseTableau

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