• consultant data engineering

Industry IT
Location Karnataka Bangalore
Experience Range 8 - 10 Years
Qualification BE
Open

Functional Any Other
Job Description
About Us
“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.”
About Company
https://itstaffing.quesscorp.com/
Roles and Responsibility

Job Title: consultant data engineering

Experience: 8-10 Years

Notice period: Immediate to 15 days

Location: Bangalore

JD:

Responsibilities:

·       Design, develop, and maintain ETL processes using Informatica or StreamSets to extract, transform, and load data from various sources into Teradata and Greenplum data warehouse environments.

·       Develop and optimize SQL queries, macros, and stored procedures for data manipulation, transformation, and analysis.

·       Utilize Control-M scheduling tool to orchestrate and automate data workflows and batch processes.

·       Create and maintain Python scripts to support data engineering tasks, business processes, and automation initiatives.

·       Collaborate with data architects, business analysts, and stakeholders to understand data requirements, design data models, and implement data solutions.

·       Implement data quality checks, validation rules, and monitoring mechanisms to ensure data integrity and accuracy.

·       Work with Spark for big data processing, data transformations, and analytics tasks.

·       Troubleshoot data-related issues, performance bottlenecks, and optimize data pipelines for efficiency and scalability.

·       Provide technical guidance, mentorship, and support to junior team members.

·       Stay updated with industry trends, best practices, and emerging technologies in data engineering and analytics.

 

A+| A| A-