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Sr. Data Analytics Engineer - Databrick - Power BI
Sr. Data Analytics Engineer - Databrick - Power BIAjmera Infotech Inc. • Austin, TX, us
Sr. Data Analytics Engineer - Databrick - Power BI

Sr. Data Analytics Engineer - Databrick - Power BI

Ajmera Infotech Inc. • Austin, TX, us
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Job Description

This is a remote position.

Sr. Data Analytics Engineer - Govern insights with Databricks precision

Company : Ajmera Infotech Private Limited (AIPL)

Experience : 7+ 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

  • 7+ 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
  • Requirements

    Sr. Data Analytics Engineer - Databrick - Power BI Company : Ajmera Infotech Private Limited (AIPL) Experience : 7+ 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 7+ 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 Must-Have Skills 7+ years of .NET backend development experience Proficiency in Azure or AWS cloud platforms Proven track record in distributed, high-scale backend systems Strong grasp of data structures, async programming, and API versioning Hands-on with SQL / NoSQL, caching, and messaging systems Nice-to-Have Skills Experience with CQRS, MediatR, or event-driven architectures Exposure to MongoDB and document-store modeling Familiarity with React or modern JS stacks Understanding of DDD and advanced architectural patterns Benefits & Compliance Competitive salary with performance incentives Flexible work hours and professional growth programs Permanent, full-time onsite role in Austin, Texas Background check and drug screening required (criminal, education, employment verification)

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