Data Engineer SQL – Flexible Working

Data Engineer SQL – Flexible Working — Data Engineer SQL – Noida | Full‑Time Employment A fast‑growing data team needs a hands‑on engineer to build and fine‑tune Snowflake‑based pipelines on AWS. You’ll turn raw feeds into reliable warehouse assets, enabling analysts and business leaders to derive insights quickly. The role offers hybrid work, flexible hours and a culture that invests in learning and inclusive growth. What You’ll Do Design and maintain scalable data pipelines with Snowflake and AWS Glue. Build and optimise ETL workflows for structured and unstructured sources. Create ingestion processes for databases, APIs, CSV, JSON and Parquet files. Transform, cleanse and validate data to uphold quality standards. Tune Snowflake models, queries and storage for peak performance. Collaborate with analysts and stakeholders to deliver end‑to‑end data solutions. What You Need 4–7 years of data‑engineering experience. Strong hands‑on expertise with Snowflake and AWS Glue. Proficiency in SQL and Python for pipeline development. Proven track record building ETL and data‑integration solutions. Solid understanding of data‑warehousing concepts and data modelling. Experience handling CSV, JSON and Parquet formats. Familiarity with AWS cloud services. Good to Have Exposure to additional AWS tools (e.g., Lambda, Redshift). Experience with data‑quality frameworks or testing suites. The Opportunity Join a collaborative team that runs hybrid work and flexible hours, giving you space to innovate with cutting‑edge technologies while growing your skills in a people‑centric, inclusive environment.