Tech Mahindra
Skills: Python, SQL
Data Engineer
Job Type: Full-Time
Location: Remote US
Tech Mahindra(https://himalayas.app/companies/tech-mahindra) is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions within a large enterprise data ecosystem. This role requires strong expertise in SQL, data engineering, workflow orchestration, and business intelligence, along with experience working in our Client’s internal data platforms and environments.
The successful candidate will support large-scale data processing, analytics, reporting, and automation initiatives while partnering closely with business stakeholders, engineers, analysts, and product teams to deliver reliable and scalable data solutions.
Qualifications for success:
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Analytics, or a related technical field, or equivalent professional experience. 4 or more years of hands-on experience as a Data Engineer, Analytics Engineer, or Data Analyst. Experience working within Google's ecosystem. SQL (PLX for Analytics): Experience writing complex, performance-tuned SQL queries, analytical functions, CTEs, and window functions to extract, transform, and model data across enterprise data warehouses. Python (- Colab/Jupyter): Experience with Python for scripting, data manipulation (Pandas/NumPy), basic ETL automation, and data validation. Looker Studio / PLX Dashboards: Experience designing interactive, self-service dashboards and business intelligence reporting. PLX Workflow: Experience with automated ETL/ELT scheduling and workflow orchestration within Google's data environment. Piper: Familiarity with Google internal distributed execution and data pipeline frameworks. Cider: Experience with Google internal code editing and cloud development tools. Responsible for source code management, writing and updating SQL/Python scripts, and engaging in collaborative code reviews.
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