Job DescriptionJob Description – Data Engineer (Analytics Team) NOverviewnWe are looking for a highly motivated Data Engineer to join our Analytics team. The ideal candidate should have strong programming and analytical skills with hands-on experience in building, maintaining, and optimising data pipelines. You will be responsible for developing scalable ETL workflows, transforming raw data into analytics-ready datasets, and ensuring high data quality and reliability. NRequirements: NEducationnn Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, Data Science, or a related quantitative discipline. N Preferred institutions: IITs, NITs, IIITs, DTU, NSUT, BITS Pilani, or other Tier-1 colleges. NnExperiencen N 0–2 years of experiencein Data Engineering, Analytics Engineering, Data Analytics, or a related field. N Exceptional fresh graduates with strong internships or personal projects are encouraged to apply. NnTechnical Skills Nn Advanced SQL withstrong knowledge of joins, CTEs, window functions, query optimisation, and data modeling. N Strong hands-on Python programming skills for building ETL pipelines, data transformation, automation, and workflow orchestration. N Experience in designing, developing, maintaining, and optimising data pipelines. N Strong understanding ofETL/ELT concepts, data ingestion, transformation, and scheduling.



N Expert-level proficiency in Microsoft Excel and Google Sheets, including advanced formulas, pivot tables, dashboards, and automation. N Familiarity with relational databases, data warehouses, and cloud data platforms is a plus. N Experience with workflow orchestration tools (e.G., Airflow, Prefect, Dagster, n8n) is an added advantage. NnResponsibilities Nn Design, build, and maintain reliable and scalable ETL/ELT pipelines from multiple data sources. N Develop Python-based data ingestion, transformation, and automation workflows. N Optimise pipeline performance, refresh times, and overall data reliability. N Create clean, analytics-ready datasets for reporting and business intelligence. N Monitor data quality, troubleshoot pipeline failures, and implement improvements. N Collaborate with analysts, product, and engineering teams to understand data requirements and deliver scalable solutions. N Document pipeline architecture, data flows, and transformation logic. NnWhat We're LookingFor Nn Strong analyticaland problem-solving skills. N Excellent coding practices with a focus on writing clean, maintainable, and efficient Python code. N High attention to detail and commitment to data quality. N Ability to work independently in a fast-paced, data-driven environment. N Robust communication, collaboration, and ownership mindset. N

📌 Data Engineer - Analytics Team (Karnataka)
🏢 Triomics
📍 Karnataka