Sr. Data Analytics Engineer

Sr. Data Analytics Engineer – Power mission-critical decisions with governed insights

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.

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Why You’ll Love It

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  End-to-end impact — Build full-stack analytics from lake house pipelines to real-time dashboards.

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  Fail-safe engineering — TDD, CI/CD, DAX optimization, Unity Catalog, cluster tuning.

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  Modern stack — Databricks, PySpark, Delta Lake, Power BI, Airflow.

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  Mentorship culture — Lead code reviews, share best practices, grow as a domain expert.

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  Mission-critical context — Help enterprises migrate legacy analytics into cloud-native, governed platforms.

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  Compliance-first mindset — Work in HIPAA-aligned environments where precision matters.

Requirements

Key Responsibilities

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  Build scalable pipelines using SQL, PySpark, Delta Live Tables on Databricks.

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  Orchestrate workflows with Databricks Workflows or Airflow; implement SLA-backed retries and alerting.

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  Design dimensional models (star/snowflake) with Unity Catalog and Great Expectations validation.

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  Deliver robust Power BI solutions—dashboards, semantic layers, paginated reports, DAX.

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  Migrate legacy SSRS reports to Power BI with zero loss of logic or governance.

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  Optimize compute and cost through cache tuning, partitioning, and capacity monitoring.

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  Document everything—from pipeline logic to RLS rules—in Git-controlled formats.

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  Collaborate cross-functionally to convert product analytics needs into resilient BI assets.

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  Champion mentorship by reviewing notebooks, dashboards, and sharing platform standards.

Must-Have Skills

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  5+ years in analytics engineering, with 3+ in production Databricks/Spark contexts.

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  Advanced SQL (incl. windowing), expert PySpark, Delta Lake, Unity Catalog.

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  Power BI mastery—DAX optimization, security rules, paginated reports.

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  SSRS-to-Power BI migration experience (RDL logic replication).

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  Strong Git, CI/CD familiarity, and cloud platform know-how (Azure/AWS).

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  Communication skills to bridge technical and business audiences.

Nice-to-Have Skills

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  Databricks Data Engineer Associate cert.

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  Streaming pipeline experience (Kafka, Structured Streaming).

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  dbt, Great Expectations, or similar data quality frameworks.

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  BI diversity—experience with Tableau, Looker, or similar platforms.

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  Cost governance familiarity (Power BI Premium capacity, Databricks chargeback).

Benefits

Benefits & Call-to-Action

Ajmera offers competitive compensation, flexible hybrid schedules, and a deeply technical culture where engineers lead the narrative. If you’re driven by reliable, audit-ready data products and want to own systems from raw ingestion to KPI dashboards—apply now and engineer insights that matter.