Sr. Data Analytics Engineer
Sr. Data Analytics Engineer
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Job Description
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.
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
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
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.
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).
Education
Education: BE (Computer Engineering / Computer Science / Information Technology) or MCA.
Employment Type
Full Time
