Sr Data Engineer

Citymall · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 11:15 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: _zGvqXKOs_dF

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Roles and Responsibilities: . Tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes Building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting Collaborate with stakeholders to understand, define and document business applications, data sources/relationships, and needs (metrics, dimensions, charts and dashboards). Analyze and Identify new data sources as needed per stakeholder requirements. Working closely with analytics team and other business stakeholders to create data processing frameworks that help the business make sense of growing data Manage and monitor existing data pipelines and work with other team members to ensure best practices for ETL and data warehousing Work on optimization of data storage and processing infrastructure to reduce costs Facilitate integration of different BI tools as needed by business stakeholders Assist in the design and documentation of data infrastructure and technologies Skills Required : Proficient in languages: Python. Minimum 2+ years’ experience as Data Engineer Experience in AWS Stack - Glue, Athena, Quick sight, RDS, Redshift, Kafka , pySparkExperience setting up data pipelines, archiving data, data lakes Bachelors or Master’s degree in computer science/Maths/statistics or related field Expertise with designing complex Data Models and Data Engineering solutions Write complex SQL for processing raw data, data transformations as well as data validations Experience with infrastructure as code using shell scripting Hands on experience in working with big data on AWS environments including cleaning/transforming/cataloging/mapping etc. Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries Experience in ETL and data modeling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline Certifications on AWS will be an added plus. Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name * Middle Name Last Name * Email * Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) + Employer + Add Employer Education + Add Education

Collected experience requirement

2+ years