Technical Lead (Informatica Cloud)

We are looking for an experienced Technical Lead (IICS & PowerCentre) with deep expertise in ETL processes, Informatica tools, and cloud platforms (AWS/Azure ). This role involves leading data integration projects, mentoring developers, and ensuring the delivery of high-quality, scalable, and reliable data solutions.

Key Responsibilities:-

ETL & Data Integration: Lead the design, development, and optimization of ETL workflows using Informatica PowerCenter and/or Informatica Cloud (CDI/CAI).

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.

Technical Leadership:

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.

Cloud & Infrastructure:

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. ?

Qualifications:

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.

Preferred Skills:

Informatica PowerCenter / Cloud AWS / Azure (Synapse, Data Factory, Lambda, S3) SQL, PL/SQL Hadoop, Hive, Spark Unix/Linux scripting Data Governance & Quality tools

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