Sr. Data Analyst

Sr. Data Analytics Engineer – Databricks - Power BI 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. • 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. Benefits • 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. Application:Interested candidates are invited to submit their resumes [email protected] Job Type: Full-time Pay: $70,000.00 - $90,000.00 per year Benefits: • Flexible schedule • Health insurance • Paid time off Compensation Package: • Performance bonus • Yearly bonus Schedule: • 8 hour shift • Day shift • Monday to Friday Application Question(s): • What is your current location (City)? • What is your expected base pay? • How many years of Power BI experience do you have? • How many years of Total experience do you have? • Will you be able to relocate to be within reasonable commuting distance from Austin, TX? Education: • Bachelor's (Required) Experience: • Databricks: 3 years (Required) Work Location: In person