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Data Engineering Lead - Informatica

Quench Techno ValleyBangalore

16 days ago

Job description

Role : Data Engineering Lead

Experience : 14+yrs

NOTE : Immediate joiner required or Notice period-serving till Oct 10th, 2025

Skills : ETL, SQL, Oracle, Cloud

ETL / Data Integration Tools : Informatica PowerCenter, Informatica BDM, Informatica IDQ, Informatica Cloud Services, SnapLogic.

Databases : Oracle, Netezza, Snowflake, Azure SQL, Hive.

Data Warehouse & BI : DAC (Data Warehouse Administrative Console), Qlik, OBIEE.

Cloud & Migration : Azure Cloud migration, SaaS-to-Oracle SQL migration.

Programming & Optimization : Advanced SQL, performance tuning, query optimization.

Methodologies : Requirement analysis, test case development, production support, performance tuning, data modelling,and data validation.

Scheduling & Automation : Automic, Query Surge, Jitterbit.

Leadership & Delivery : Offshore / onshore team leadership, L2 / L3 support, peer reviews, release management, client communication.

Roles and Responsibilities Leadership & Management :

Lead and mentor a team of data engineers across onshore / offshore locations.
Conduct regular performance reviews, provide technical guidance, and foster a collaborative team culture.
Manage resource allocation, hiring, and onboarding of new team members.

Data Architecture & Strategy :

Design and implement scalable data architecture solutions across cloud and on-premise environments.

Define data engineering best practices, standards, and governance policies.

Collaborate with enterprise architects and business stakeholders to align data strategies with

business goals.

ETL & Data Integration :

Oversee development and maintenance of ETL pipelines using tools like Informatica

PowerCenter, BDM, IDQ, and SnapLogic.

Ensure efficient data ingestion, transformation, and loading processes from various sources

to target systems.

Optimize ETL workflows for performance and reliability.

Cloud & Migration Projects :

Lead cloud migration initiatives, especially to Azure, including re-platforming and re-architecting legacy systems.

Manage SaaS-to-Oracle SQL migration and other data modernization efforts.

Data Warehousing & BI :

Oversee data warehouse development and maintenance using Snowflake, Netezza, Hive, and

Azure SQL.

Support BI teams with data modelling and integration for tools like Qlik, OBIEE.

Ensure high data quality and availability for reporting and analytics.

Performance Tuning & Optimization :

Conduct advanced SQL tuning and query optimization to improve system performance.

Monitor and troubleshoot data pipeline issues, ensuring minimal downtime and high & Scheduling :

Implement and manage job scheduling and automation tools like Automic, Jitterbit, and

Query Surge.

Ensure timely execution of data workflows and proactive issue resolution

(ref : hirist.tech)

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Data Engineering Lead • Bangalore

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