Sr. Data Analytics Engineer (On-site only)

3 - 8 years

10 - 20 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

SUMMARY

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 

  • 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

What We Offer 

  • Competitive salary package with performance-based bonuses. 

  • Comprehensive health insurance for you and your family. 

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