Description:

Position :- Technical Lead - Informatica & DBT

Experience :- 15+ Year relevant in ETL & Data Engineering (Informatica & DBT)

Location :- Global Village, Bangalore (Hybrid Remote, Minimum 2 Day / Week from Office)

PR: Upto 23 LPA

Shift Timing : 11:00 AM to 08:00 PM IST.

MUST Have Mandatory skills (non-negotiable)

Minimum 15+ Years relevant experience in ETL & Data Engineering spread across Informatica, DBT, Python & Airflow

10+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization

3+ years of hands-on DBT Core experience - model layering, macros, tests, incremental materializations

3+ years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool

5+ years of Python experience, including production use of parallelism and batch data processing

5+ years of SQL experience - complex joins, window functions, aggregations across large datasets

Experience with Migration Informatica-to-DBT strongly desired

every submission must include below skill matrix & self ratings

Skills Category

No r of Years

No r of Projects

Self-Rating (Out of 10)

Informatica

Dbt

SQL

Python

Airflow

CI/CD, Docker Image

[strong style="font-size: 11pt;"]Required Skills & Experience

10 15+ years of enterprise data engineering or ETL modernization experience.

8+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization

3+ years of hands-on DBT Core experience - model layering, macros, tests, incremental materializations

3+ years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool

5+ years of Python experience, including production use of parallelism and batch data processing

5+ years of SQL experience - complex joins, window functions,



aggregations across large datasets

Experience with Git-based development, CI/CD pipelines, docker image, and environment promotion

Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement

Deep expertise in SQL-based transformation architectures and modern ELT patterns.

Strong hands-on knowledge of DBT (Core or Cloud) and Python-based ingestion.

Experience migrating legacy ETL platforms (e.g., Informatica) to modern data stacks.

Strong client-facing communication and design leadership skills.

Manage and unblock team members from the technical perspective

Role Overview

The Offshore Technical Lead serves as the day-to-day technical owner of the Informatica-to-dbt migration program. This role is responsible for driving consistent engineering execution, enforcing architectural standards, and ensuring delivery quality across multiple parallel migration waves and business units.

This role operates within a large-scale data platform modernization program migrating from Informatica PowerCenter to a Python, DBT, and Airflow-based architecture. Our tech stack consists of Airflow + DBT + Python EL scripts, deployed on VMs via Docker Compose, scheduled by Control-M.

Key Responsibilities

Technical Leadership & Governance

Own and enforce DBT architectural standards, coding conventions, and model layering (staging intermediate marts).





Act as the primary technical escalation point for Data Engineers and SMEs.

Ensure consistency of implementation across SWP and IMS migration streams.

Review and approve DBT models, Python extract/load scripts, and testing artifacts.

Delivery Execution

Lead day-to-day development activities across wave-based migration plans.

Coordinate task breakdown, sequencing, and dependency management with the Offshore Project Manager.

Ensure accurate implementation of Informatica logic as translated into dbt and Python EL.

Support defect triage, root-cause analysis, and remediation during SIT and UAT.

Informatica to DBT Translation Oversight

Partner with Informatica SMEs to validate correct interpretation of legacy mappings, sessions, and workflows.

Guide Data Engineers on translating Informatica constructs (lookups, aggregators, routers) into productive SQL/DBT patterns.

Validate non-CDC load assumptions and idempotent batch processing logic.

Quality, Testing & Performance

Ensure unit testing, DBT tests, and validation checks are consistently implemented.

Review performance considerations (incremental models, partitioning strategies, warehouse usage).

Ensure parity with legacy Informatica outputs based on agreed validation criteria.

Knowledge Transfer & Sustainability

Produce and maintain technical runbooks, design artifacts, and coding standards.

Support training and onboarding of new engineers as migration scales.

Ensure smooth transition to steady-state operations during hypercare and handover.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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