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Senior Analyst at eClerx Career Site

, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, PySpark, Gcp, BigQuery, Cloud Storage, Airflow, Composer, Ci/cd, Git, Jenkins, Etl/Elt

Industry

IT Services and IT Consulting

Description

Key Responsibilities: * Design and implement data pipelines on GCP using BigQuery, Airflow * Implement ETL/ELT frameworks for large-scale campaign and clickstream data * Optimize pipeline costs and query performance in BigQuery * Automate workflows, monitoring, and alerting for critical jobs * Required Skills: * Strong proficiency in SQL (BigQuery preferred) and Python/PySpark * Hands-on with GCP services: BigQuery, Cloud Storage * Familiar with Airflow/Composer, CI/CD tools, and Git workflows/Jenkins eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Responsibilities

Design and implement data pipelines and ETL/ELT frameworks on GCP using BigQuery and Airflow. Focus on optimizing pipeline costs, query performance, and automating critical job monitoring and alerting.