Data Engineer – ETL

6 days ago

Rajahmundry, India AIMLEAP Full time

Data Engineer – ETL & Pipeline Development Experience: 5 to 10 Years Location: Remote (Work from Home) / Bangalore / India Mode of Engagement: Full-time No. of Positions: 5 Educational Qualification: B.E / B.Tech / M.Tech / MCA / Computer Science / IT Industry: IT / Data / AI / LegalTech / Enterprise Solutions Notice Period: Immediate Joiners Preferred What We Are Looking For: - 5–10 years of hands-on experience in designing, developing, and deploying end-to-end data pipelines and ETL workflows — not just using prebuilt tools, but building from scratch using Python and SQL. - Strong command of Python programming for data transformation, orchestration, and automation (e.g., using Pandas, Airflow, or custom schedulers). - Solid experience in writing complex SQL queries, optimizing database performance, and designing schemas for large-scale systems. - Proven experience integrating RESTful APIs for data ingestion, transformation, and delivery pipelines. - Working knowledge of AWS / GCP / Azure for data storage, processing, and deployment (S3, EC2, Lambda, BigQuery, etc.). - Practical exposure to Docker, Kubernetes, and CI/CD pipelines for automating and deploying ETL and data workloads. - Familiarity with AI-driven data pipelines or automation workflows is an added advantage. Responsibilities: - Design, architect, and build ETL pipelines from the ground up to extract, clean, transform, and load data across multiple systems. - Develop and deploy custom Python-based data frameworks to automate workflows and improve data quality. - Build and maintain high-performance SQL queries and database structures to support analytics and AI teams. - Develop and integrate API-based data ingestion systems (internal and external). - Deploy and manage workloads using Docker, Kubernetes, and CI/CD tools ensuring high availability and version control. - Work closely with product, AI, and analytics teams to deliver intelligent, automated data solutions. - Implement data validation, monitoring, and alerting mechanisms for production pipelines. - Continuously optimize pipeline performance, cost efficiency, and scalability in cloud environments. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Proficiency in Python (FastAPI, Flask, or Django), SQL, and REST API design. - Strong understanding of ETL principles, data modeling, and pipeline orchestration (Airflow / Prefect / Dagster). - Experience working with AWS (S3, Lambda, EC2, Glue, Athena) or equivalent GCP/Azure components. - Hands-on exposure to Docker, Kubernetes, and Git-based CI/CD workflows. - Excellent problem-solving, debugging, and analytical skills with an ownership mindset.

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