Sr. Data Analytics Engineer - Databricks (On-site only)

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

Company: Ajmera Infotech Private Limited (AIPL)

Location: Hyderabad (On-site)

Experience: 5 – 9 years

Position Type: Full-time, Permanent

Ajmera Infotech builds planet-scale software for NYSE-listed clients, driving decisions that can’t afford to fail. Our 120-engineer team specializes in highly regulated domains—HIPAA, FDA, SOC 2—and delivers production-grade systems that turn data into strategic advantage.

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Why You’ll Love It

• End-to-end impact — Build full-stack analytics from lake house 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.
  
  

Requirements

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

Benefits & Call-to-Action

Ajmera offers competitive compensation, flexible hybrid schedules, and a deeply technical culture where engineers lead the narrative. If you’re driven by reliable, audit-ready data products and want to own systems from raw ingestion to KPI dashboards—apply now and engineer insights that matter.