Sr. Data Analytics Engineer - Databrick - Power BI
This is a remote position.
Sr. Data Analytics Engineer - Govern insights with Databricks precision
Company: Ajmera Infotech Private Limited (AIPL)
Experience: 5 -9 years
Location: Remote or Texas (Remote-first with flexibility to work across U.S. time zones)
Employment Type: Contract: 1099 (Independent Contractor)
About Ajmera Infotech
Ajmera Infotech builds planet-scale software for NYSE listed clients in high stakes, regulated domains. With a 120 engineer team, we deliver fail-safe systems that turn data into real time, compliant decisions across HIPAA, FDA, and SOC 2 landscapes.
Why You will Love It
• Full-stack impact - Own pipelines, models, and dashboards across the lakehouse
• Tuned for precision - Build with TDD, CI/CD, Unity Catalog, and observability baked in
• Modern, governed stack - Databricks, Delta Lake, PySpark, Power BI, Airflow
• Mentorship-driven - Lead code reviews, guide migration patterns, grow your influence
• Cloud-native migration - Replace brittle legacy analytics with resilient BI ecosystems
• Compliance-first mindset - Work in HIPAA-aligned environments where precision is non-negotiable
Requirements
Key Responsibilities
• Engineer scalable pipelines with SQL, PySpark, Delta Live Tables, and Databricks Workflows
• Orchestrate workflows with Airflow or Databricks Jobs, with SLA - aware retries and alerting
• Model data using dimensional schemas, Unity Catalog, and Great Expectations
• Build Power BI dashboards, semantic models, paginated reports, and fine-grained security layers
• Migrate SSRS reports to Power BI - preserving all business logic and compliance constraints
• Optimize cost and performance - cache tuning, partitioning, capacity management
• Document everything - pipeline logic, DAX rules, RLS - stored in Git and versioned formats
• Collaborate across teams to translate product analytics into governed BI assets
• Mentor teammates by reviewing notebooks, dashboards, and platform standards
Must-Have Skills
• 5 - 9 years in analytics engineering; 3+ in Databricks/Spark environments
• Advanced SQL (window functions, joins), expert PySpark, Delta Lake, Unity Catalog
• Deep Power BI skills - DAX, RLS, paginated reports, semantic modeling
• Proven SSRS-to-Power BI migration experience (replicating RDL logic)
• Strong with Git, CI/CD, and public cloud (Azure/AWS)
• Clear communicator - able to bridge technical teams and business stakeholders
Benefits
• Competitive hourly compensation with performance-based incentives
• 100% remote flexibility with option to work onsite in Texas if preferred
• High-visibility projects in regulated healthtech with direct client interaction
• Opportunity to shape Agile delivery strategy in mission-critical systems
Apply Now
Apply Now
Sr. Data Analytics Engineer - Govern insights with Databricks precision
Company: Ajmera Infotech Private Limited (AIPL)
Experience: 5 -9 years
Location: Remote or Texas (Remote-first with flexibility to work across U.S. time zones)
Employment Type: Contract: 1099 (Independent Contractor)
About Ajmera Infotech
Ajmera Infotech builds planet-scale software for NYSE listed clients in high stakes, regulated domains. With a 120 engineer team, we deliver fail-safe systems that turn data into real time, compliant decisions across HIPAA, FDA, and SOC 2 landscapes.
Why You will Love It
• Full-stack impact - Own pipelines, models, and dashboards across the lakehouse
• Tuned for precision - Build with TDD, CI/CD, Unity Catalog, and observability baked in
• Modern, governed stack - Databricks, Delta Lake, PySpark, Power BI, Airflow
• Mentorship-driven - Lead code reviews, guide migration patterns, grow your influence
• Cloud-native migration - Replace brittle legacy analytics with resilient BI ecosystems
• Compliance-first mindset - Work in HIPAA-aligned environments where precision is non-negotiable
Requirements
Key Responsibilities
• Engineer scalable pipelines with SQL, PySpark, Delta Live Tables, and Databricks Workflows
• Orchestrate workflows with Airflow or Databricks Jobs, with SLA - aware retries and alerting
• Model data using dimensional schemas, Unity Catalog, and Great Expectations
• Build Power BI dashboards, semantic models, paginated reports, and fine-grained security layers
• Migrate SSRS reports to Power BI - preserving all business logic and compliance constraints
• Optimize cost and performance - cache tuning, partitioning, capacity management
• Document everything - pipeline logic, DAX rules, RLS - stored in Git and versioned formats
• Collaborate across teams to translate product analytics into governed BI assets
• Mentor teammates by reviewing notebooks, dashboards, and platform standards
Must-Have Skills
• 5 - 9 years in analytics engineering; 3+ in Databricks/Spark environments
• Advanced SQL (window functions, joins), expert PySpark, Delta Lake, Unity Catalog
• Deep Power BI skills - DAX, RLS, paginated reports, semantic modeling
• Proven SSRS-to-Power BI migration experience (replicating RDL logic)
• Strong with Git, CI/CD, and public cloud (Azure/AWS)
• Clear communicator - able to bridge technical teams and business stakeholders
Benefits
• Competitive hourly compensation with performance-based incentives
• 100% remote flexibility with option to work onsite in Texas if preferred
• High-visibility projects in regulated healthtech with direct client interaction
• Opportunity to shape Agile delivery strategy in mission-critical systems
Apply Now
Apply Now