Find your dream job faster with JobLogr
AI-powered job search, resume help, and more.
Try for Free
Mogi I/O : OTT/Podcast/Short Video Apps for you

Mogi I/O : OTT/Podcast/Short Video Apps for you

via LinkedIn

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

Director of Business Development – BFSI & FinTech

Brookhaven, GA
Full-time
Posted 12/3/2025
Verified Source
Key Skills:
Azure Databricks
Apache Spark (PySpark)
SQL
Delta Lake
ETL/ELT
Data Modelling
Streaming Frameworks (Kafka, Event Hub)
CI/CD
Terraform/ARM
Azure Purview

Compensation

Salary Range

$82K - 123K a year

Responsibilities

Architect and implement scalable data platforms and pipelines on Azure and Databricks, develop ETL/ELT workflows, design data models, troubleshoot performance, and mentor junior engineers.

Requirements

8+ years enterprise data engineering experience with strong hands-on skills in Azure Databricks, Spark, SQL, Delta Lake, ETL/ELT, data modelling, and exposure to streaming frameworks.

Full Description

Location: Alpharetta, Georgia Experience Required: 3 – 15 Years Compensation: USD 82000 - 123000 Visa Status: US Citizens, green card holder About The Role We are seeking a Senior/Lead Data Engineer with 8+ years of experience building scalable, high-performance data platforms on Azure & Databricks. This role involves end-to-end data engineering, architecture, and leadership across modern data lakehouse environments. Key Responsibilities • Architect and implement scalable data platforms and pipelines on Azure and Databricks. • Build and optimize batch & real-time data ingestion and transformation (Spark/PySpark). • Develop robust ETL/ELT workflows, ensuring reliability and performance. • Work with ADLS, Delta Lake, and Spark for large-scale processing. • Design data models (conceptual, logical, physical) for analytics and operational use. • Collaborate with cross-functional teams to convert requirements into technical solutions. • Troubleshoot performance issues and support production systems. • Ensure best practices for data governance, security, quality, and architecture. • Mentor junior engineers and contribute to engineering standards. Required Skills • 8+ years of enterprise data engineering experience. • Strong hands-on experience with: • Azure Databricks, Azure Functions, ADF • Apache Spark (PySpark) • SQL & performance tuning • Delta Lake (schema evolution, ACID, optimization) • Expertise in ETL/ELT, distributed systems, and cloud-native architecture. • Experience with data modelling (dimensional, normalized, lakehouse). • Exposure to streaming frameworks (Kafka, Event Hub). • Strong problem-solving and technical leadership skills. Preferred Skills • CI/CD using Azure DevOps, Git. • IaC tools (Terraform/ARM). • Azure Purview or other data governance tools. • Experience supporting ML or BI workloads on Databricks. Benefits • Medical, dental, vision insurance • Paid vacation, sick leave, holidays • Employer-matched 401(k) • Life, AD&D, short-term & long-term disability • Eligibility varies by employment type and state law

This job posting was last updated on 12/5/2025

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