5 - 10 years
12 - 20 Lacs
Posted:5 days ago|
Platform:
Work from Office
Full Time
Key Responsibilities: Design, develop, and maintain scalable and optimized ETL pipelines using Python and SQL. Work with Google BigQuery and other cloud-based platforms to build data warehousing solutions. Develop and deploy ML models; collaborate with Data Scientists for productionizing models. Write efficient and optimized SQL queries for large-scale data processing. Build APIs using Flask/Django for machine learning and data applications. Work with both SQL and NoSQL databases including Elasticsearch. Implement data ingestion using batch and streaming technologies. Ensure data quality, integrity, and governance across the data lifecycle. Automate and optimize CI/CD pipelines for data solutions. Collaborate with cross-functional teams to gather data requirements and deliver solutions. Troubleshoot and monitor data pipelines for seamless operations. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience with Python in a data engineering and/or ML context. Strong hands-on experience with SQL, BigQuery, and cloud data platforms (preferably GCP). Practical knowledge of ML concepts and experience developing ML models. Proficiency in frameworks such as Flask and Django. Experience with NoSQL databases and data streaming technologies. Solid understanding of data modeling, warehousing, and ETL frameworks. Familiarity with CI/CD tools and automation best practices. Excellent communication, problem-solving, and collaboration skills.
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