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Ajmera Infotech
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Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Ajmera Infotech

5 - 10 years

7 - 12 Lacs

Ahmedabad

Posted:1 day ago| Platform:

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Skills Required

Data analytics

Work Mode

Work from Office

Job Type

Full Time

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 cant afford to fail. Our 120-engineer team specializes in highly regulated domainsHIPAA, FDA, SOC 2and delivers production-grade systems that turn data into strategic advantage.

Why Youll 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 rulesin 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 diversityexperience with Tableau, Looker, or similar platforms.

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

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