Sr. Data Analytics Engineer - Databrick - Power BI
Sr. Data Analytics Engineer - Databrick - Power BI
Posted on :
24-07-2025
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1 Vacancy
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Jobs by Experience
5years
Monthly Salary
70 - 90
Vacancy
1 Vacancy
Posted on :
24-07-2025
Job Description
Sr. Data Analytics Engineer Databricks - 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.
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
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.
Sr. Data Analytics Engineer Databricks - 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. 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 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 to
Education
Bachelor's degree in Computer Science, Engineering, or related field.
Employment Type
Full Time
Key Skills
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