Candidates must have hands-on experience in at least one of the following technologies: Azure Databricks, Snowflake, or Azure Data Factory (ADF) . They should have demonstrated technical leadership or team lead experience in one or more of these technologies, including owning solution design, implementation, mentoring team members, or driving project delivery.
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
- Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.
- 8+ years of experience in data engineering or data platform development, with at least 2–3 years in a lead or architect role.
- Strong hands-on experience in one or more of the following:
- Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)
- Databricks (Spark, Delta Lake, PySpark, MLflow)
- Snowflake (Data Warehousing, Snowpipe, Performance Optimization)
- Power BI (Data Modeling, DAX, Report Development)
- Proficiency in SQL and programming languages like Python or Scala.
- Experience with Azure, AWS, or GCP cloud data services.
- Solid understanding of data modeling, data governance, security, and CI/CD practices.
- Familiarity with data modeling techniques and practices for Power BI.
- Knowledge of Azure Databricks or other data processing frameworks.
- Knowledge of Microsoft Fabric or other Cloud Platforms.
What we need?
· B. Tech computer science or equivalent.
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Benefits:
- Life insurance
- Provident Fund
Application Question(s):
- Could you tell me which of the required technologies you have worked with?
Experience:
- Data Engineering : 8 years (Preferred)
- Lead or Architect : 3 years (Preferred)
Work Location: In person