Data Support EngineerLocation:Bangalore
Experience 6+yrs Rate 30 LPA AMVikas POC:Swati Patil Key Responsibilities:
Database Development & Support:

Write and optimizeSQL queries, stored procedures, and viewsfor data retrieval and transformation.

Develop and maintaindata pipelinesto support business intelligence and analytics requirements.

SupportSQL Server and Amazon Redshiftenvironments for data storage, transformation, and analytics.

Ensuredata integrity, security, and qualityacross all database solutions.

Operational Support:

Monitor ETL logsand troubleshoot data pipeline issues to minimize downtime.

Performdata validationand reconciliation to ensure data accuracy.

MaintainExcel reports and updatesas part of regular operational tasks.

Development & Automation:

UtilizePythonfor automation, data processing, and workflow enhancements.

Work withAWS services(e.g., S3, Redshift, Glue) to implement cloud-based data solutions.

Assist in maintaining and optimizinglegacy PHP codefor database interactions (preferred).

Experience & Qualifications:

Minimum 2 yearsof experience in database development, support, or data engineering roles.

Strong SQL skillswith experience in query optimization, stored procedures, and data provisioning.

Hands-on experiencewith relational databases (SQL Server) and cloud data warehouses (Redshift).

Python programmingskills for automation and data transformation.

AWS expertisein services like S3, Redshift, and Glue (preferred).

Knowledge ofDatabricksand big data processing is a plus.

Experience withdata validation and reconciliationprocesses.

Exposure toCI/CD, version control, and data governance best practices.

Knowledge ofPHPfor database-related development and maintenance (preferred but not mandatory).

Preferred
Skills:

Experience inbusiness intelligence and analytics environments.

Ability to analyze data and provideinsights and recommendations.

Understanding ofETL processes and data pipeline monitoring.

Strong troubleshooting skills fordatabase and ETL issues.

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