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Sr. Data Analytics Engineer - Databrick - Power BI

Sr. Data Analytics Engineer - Databrick - Power BI

AjmerainfotechAustin, TX, US
18 hours ago
Job type
  • Full-time
  • Permanent
Job description

Austin, United States | Posted on 07 / 23 / 2025

Sr. Data Analytics Engineer – Databricks - Power mission-critical decisions with governed insights Company : Ajmera Infotech Private Limited (AIPL) Experience : 5 – 9 years Preferred Location : Austin, Texas (We kindly request that candidates seeking remote work outside of Texas refrain from applying)

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.

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.
  • 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

  • 401(k) plan
  • You should know about the position :

  • This is a permanent, full-time position, working from an office in Austin, Texas, and we are not considering C2C (Corp-to-Corp), W4, or any type of contract engagement for this role.
  • Potential new employees must complete a drug screen and background check which includes criminal search, education certification, and employment verification before hire.
  • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa currently.
  • The position will be posted until a final candidate is selected for the requisition or the requisition has enough applications.
  • Legal Compliance : Ensure compliance with all federal, state, and local regulations, including but not limited to E-Verify requirements for employment eligibility verification.
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