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Data Engineer (Azure, Snowflake, Databricks)

  • Source: LinkedIn
  • HYrEzy Tech Solutions
  • $12,561.5 to $15,701.87 /yr
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

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

  • Assist in building and maintaining scalable ETL data pipelines across Azure (Data Factory, Databricks, DevOps, Storage Accounts) and Snowflake environments.
  • Develop medallion architecture data lake frameworks for ingesting, persisting, transforming, and modeling data.
  • Design efficient SQL queries, tabular data models, and enterprise data warehouse solutions.
  • Implement full vs. incremental data ingestion strategies based on extraction frequencies.
  • Build interactive dashboards and reporting views using Power BI, Tableau, or modern BI tools.
  • Document data workflows and collaborate closely with data analysts and software engineering teams.

Must-Have Qualifications

  • 1+ years of dedicated experience in data management projects utilizing Microsoft Fabric, Snowflake, or Databricks.
  • Strong programming proficiency in SQL and Python.
  • Core knowledge of relational databases, data warehousing concepts, data modeling, and tabular models.
  • 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).
  • Willingness to work 5 days a week on-site from our Hyderabad or Bangalore office (10:00 AM – 7:00 PM).

Skills: azure,modeling,data,pipelines,snowflake,data management,models,data engineering

Skills

  • microsoft-azure
  • Snowflake
  • azure-databricks
  • databricks
  • azure-data-factory
  • azure-devops
  • azure-storage
  • power-bi
  • Tableau
  • microsoft-fabric
  • Python
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