About the role
Job Title: Data Engineer (Azure, Snowflake, Databricks)
Location: Hyderabad / Bangalore (On-site, 5 days/week)
Experience: 1+ Years
Compensation: ₹9,00,000 – ₹15,00,000 LPA
Employment Type: Full-Time
About the Role:
We are a specialized data and digital transformation services firm delivering AI/ML, advanced analytics, and modern data management solutions. We are looking for a skilled Data Engineer to build, optimize, and maintain end-to-end data pipelines across modern cloud and lakehouse architectures.
Key Responsibilities:
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Assist in building and maintaining scalable ETL data pipelines across Azure (Data Factory, Databricks, DevOps, Storage Accounts) and Snowflake environments.
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Develop medallion architecture data lake frameworks for ingesting, persisting, transforming, and modeling data.
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Design efficient SQL queries, tabular data models, and enterprise data warehouse solutions.
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Implement full vs. incremental data ingestion strategies based on extraction frequencies.
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Build interactive dashboards and reporting views using Power BI, Tableau, or modern BI tools.
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Document data workflows and collaborate closely with data analysts and software engineering teams.
Must-Have Qualifications:
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1+ years of dedicated experience in data management projects utilizing Microsoft Fabric, Snowflake, or Databricks.
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Strong programming proficiency in SQL and Python.
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Core knowledge of relational databases, data warehousing concepts, data modeling, and tabular models.
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Bachelor's degree (B.Tech / B.E.) from Tier-1 or Tier-2 engineering institutions (e.g., IITs, NITs, BITS, IIITs, DTU/NSUT, VIT, top regional colleges).
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Willingness to work 5 days a week on-site from our Hyderabad or Bangalore office (10:00 AM – 7:00 PM).