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eClerx in Maharashtra, India, seeks a senior Data Engineer to build and optimize data pipelines on Google Cloud Platform, focusing on BigQuery, Dataflow, Airflow and Cloud Composer. You will ingest new data sources, design data models, and drive ETL across the enterprise data platform.
You will write advanced SQL, optimize ETL resources, collaborate with vendors, and explore new big-data technologies. The role requires 7+ years in data engineering, strong Python and SQL skills, and experience
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.