Data Engineering Lead

3 weeks ago

Bengaluru, India Quench Techno Valley Full time

Role : Data Engineering LeadExperience : 14+yrsNOTE : Immediate joiner required or Notice period-serving till Oct 10th, 2025 Skills : ETL, SQL, Oracle, CloudETL / 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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