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Lead Databricks Developer

Alltech Consulting Services, Inc.Plano, TX🇺🇸United StatesPosted 29 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Lead Databricks Developer with Banking Domain

Location: : Plano TX or Wilmington DE (ONSITE 5 DAYS A WEEK)

FULLTIME/CONTRACT

15+ years of IT Experience

JOB DESCRIPTION :

We are looking for a Lead Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have hands-on expertise in Databricks, PySpark, SQL, and modern data engineering practices.

Key Responsibilities:-

Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark- Build scalable batch and real-time data processing solutions using Apache Spark- Develop data transformation workflows using Python, PySpark, and Spark SQL- Implement Delta Lake solutions and optimize data processing performance- Create and manage Databricks notebooks, jobs, and workflows- Ensure data quality, validation, logging, and exception handling- Optimize Spark performance using partitioning, caching, and tuning techniques- Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases- Troubleshoot and resolve issues in data pipelines and platform processes

Required Skills:-

  • Strong hands-on experience with Databricks
  • Strong Python programming skills
  • Strong in communication and proactive.
  • Expertise in Apache Spark, PySpark, and Spark SQL- Strong SQL and data transformation skills
  • Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design
  • Experience with AWS, Azure, or Google Cloud Platform- Familiarity with Git, CI/CD, and Agile practices
  • Good problem-solving and communication skills

Preferred Skills:-

  • Experience with Airflow, Azure Data Factory, or Databricks Workflows
  • Knowledge of Kafka or streaming frameworks
  • Experience with MLflow or analytics platforms
  • Understanding of data governance and security best practices

Skills

SQL
AWS
ETL
MLflow
Agile
Airflow
Apache
Apache Spark
Azure
Data Pipeline
Databricks
Git
Google Cloud
Kafka
Python

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