8 - 12 years
11 - 20 Lacs
Posted:20 hours ago|
Platform:
Work from Office
Full Time
Translate business requirements into technical specifications and ETL designs. Perform data profiling, cleansing, and transformation to ensure data quality.
Support both batch and real-time data integration needs.
Manage and mentor a team of data engineers and ETL developers.
Define and execute data engineering strategy aligned with business goals.
Provide technical guidance on data architecture, data lakes, and data warehousing.
Work with cloud platforms (AWS or Azure) and services like Synapse, Data Pipelines, and Data Flows. Implement and maintain Data Governance and Data Quality frameworks.
Project & Stakeholder Management: Collaborate with cross-functional teams including PMs, analysts, and business stakeholders.
Estimate development efforts and manage solution lifecycle from design to deployment.
Troubleshoot production issues and provide post-deployment support.
Bachelor's or master's degree in computer science, Engineering, or related field.
8+ years of experience in ETL development and data integration.
Strong hands-on experience with Informatica PowerCenter, Informatica Cloud, and SQL.
Experience with cloud data platforms (AWS, Azure).
Familiarity with Hadoop, Podium, and data lake architectures is a plus.
Excellent communication and leadership skills.
Informatica PowerCenter / Cloud AWS / Azure (Synapse, Data Factory, Lambda, S3) SQL, PL/SQL Hadoop, Hive, Spark Unix/Linux scripting Data Governance & Quality tools
Coforge
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