Find your dream job faster with JobLogr
AI-powered job search, resume help, and more.
Try for Free
Ajmera Infotech Inc.

Ajmera Infotech Inc.

via Indeed

Apply Now
All our jobs are verified from trusted employers and sources. We connect to legitimate platforms only.

Data Analyst/Engineer

Anywhere
contractor
Posted 9/1/2025
Verified Source
Key Skills:
Databricks
PySpark
Delta Lake
Power BI
SQL
SSRS-to-Power BI migration
Git
CI/CD
Azure/AWS

Compensation

Salary Range

$70K - 90K a year

Responsibilities

Build and optimize scalable data pipelines and Power BI dashboards using Databricks and related technologies, migrate legacy reports, and mentor team members.

Requirements

5+ years analytics engineering experience including 3+ years with Databricks, advanced SQL and PySpark skills, Power BI expertise including DAX and paginated reports, SSRS migration experience, and cloud platform knowledge.

Full Description

Sr. Data Analytics Engineer – Databricks - Power BI Company: Ajmera Infotech Private Limited (AIPL) Experience: 5 – 9 years Preferred Location: Austin, Texas (We kindly request that candidates seeking remote work outside of Texas refrain from applying) 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. 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. Application: Interested candidates are invited to submit their resumes to jobs@ajmerainfotech.com Job Types: Full-time, Contract Pay: $70,000.00 - $90,000.00 per year Benefits: • Flexible schedule • Health insurance • Paid time off Application Question(s): • What is your current location (City)? • What is your expected base pay? • How many years of Power BI experience do you have? • How many years of Total experience do you have? Experience: • Databricks: 3 years (Required) Work Location: Remote

This job posting was last updated on 9/9/2025

Ready to have AI work for you in your job search?

Sign-up for free and start using JobLogr today!

Get Started »
JobLogr badgeTinyLaunch BadgeJobLogr - AI Job Search Tools to Land Your Next Job Faster than Ever | Product Hunt