Overview
HybridRemote work allowed anywhere in Texas, USA with on-site office work starting after year-end.
$70,000 - $100,000
Full Time
Skills
Sr. Data Analytics Engineer Databricks - Power missi
Databricks
Data Analysis
Apache Spark
Analytics
PySpark
SQL
Test-driven Development
Workflow
Microsoft Power BI
Microsoft Azure
Cloud Computing
Job Details
Sr. Data Analytics Engineer - Databricks - Power BI - Power mission-critical decisions with governed insights
Company: Ajmera Infotech Private Limited (AIPL)
Location: Ahmedabad, Bangalore/Bengaluru, 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.
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.
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.
Benefit
- Competitive salary
- Comprehensive health insurance
- 401(k) plan
- Flexible work hours
- Professional development opportunities
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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