Senior Data Analytics Engineer

Sr. Data Analytics Engineer Power mission-critical decisions with governed insights

Ajmera Infotech

Why You’ll Love It

• End-to-end impact

  — Build full-stack analytics from lakehouse pipelines to real-time dashboards.

• Fail-safe engineering

  — TDD, CI/CD, DAX optimization, Unity Catalog, cluster tuning.

• Modern stack

  — Databricks, PySpark, Delta Lake, Power BI, Airflow.

• Mentorship culture

  — Lead code reviews, share best practices, grow as a domain expert.

• Mission-critical context

  — Help enterprises migrate legacy analytics into cloud-native, governed platforms.

• Compliance-first mindset

  — Work in HIPAA-aligned environments where precision matters.

Key Responsibilities

• Build scalable pipelines

  using SQL, PySpark, Delta Live Tables on Databricks.

• Orchestrate workflows

  with Databricks Workflows or Airflow; implement SLA-backed retries and alerting.

• Design dimensional models

  (star/snowflake) with Unity Catalog and Great Expectations validation.

• Deliver robust Power BI solutions

  —dashboards, semantic layers, paginated reports, DAX.

• Migrate legacy SSRS reports

  to Power BI with zero loss of logic or governance.

• Optimize compute and cost

  through cache tuning, partitioning, and capacity monitoring.

• Document everything

  —from pipeline logic to RLS rules—in Git-controlled formats.

• Collaborate cross-functionally

  to convert product analytics needs into resilient BI assets.

• Champion mentorship

  by reviewing notebooks, dashboards, and sharing platform standards.

Must-Have Skills

• 5+ years in analytics engineering, with 3+ in production Databricks/Spark contexts.
• Advanced

  SQL

  (incl. windowing), expert

  PySpark

  ,

  Delta Lake

  ,

  Unity Catalog

  .

• Power BI mastery

  —DAX optimization, security rules, paginated reports.
• SSRS-to-Power BI migration experience (RDL logic replication).
• Strong Git, CI/CD familiarity, and cloud platform know-how (Azure/AWS).
• Communication skills to bridge technical and business audiences.
  

Nice-to-Have Skills

• Databricks Data Engineer Associate

  cert.
• Streaming pipeline experience (Kafka, Structured Streaming).

• dbt

  ,

  Great Expectations

  , or similar data quality frameworks.
• BI diversity—experience with Tableau, Looker, or similar platforms.
• Cost governance familiarity (Power BI Premium capacity, Databricks chargeback).
  

Benefits & Call-to-Action

apply now and engineer insights that matter.