Data Tech Lead with Java

Data Tech Lead with Java

Alpharetta GA (or) Berkley Hills NJ

1. Role Overview

Experienced Data Technical Lead to design, develop, and support scalable cloud-based data platforms and streaming data pipelines.

The ideal candidate should possess strong expertise in Databricks, PySpark, Python, Java-based streaming technologies, GitLab CI/CD pipelines, and cloud migration initiatives.

2. Key Responsibilities

- Design and develop scalable Databricks ETL/ELT pipelines (Lakeflow & LakeBase) using Azure Databricks, PySpark, and Python.

- Implement real-time and batch data ingestion frameworks using Kafka and Java-based streaming solutions.

- Develop and optimize data processing workflows in Azure Databricks.

- Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and cloud platforms.

- Build reusable frameworks for data ingestion, transformation, validation, and orchestration.

- Develop SQL-based data transformations, reporting datasets, and performance optimization solutions.

- Design and implement GitLab CI/CD pipelines for automated deployment, testing, and release management of Databricks notebooks, jobs, and data pipelines.

- Support Snowflake on-premises to Azure cloud migration initiatives.

- Ensure coding standards, performance tuning, monitoring, and operational stability of data pipelines.

- Develop Power BI dashboards and reports for business intelligence and analytics reporting.

- Develop API automation and integration solutions for data exchange between enterprise systems.

3. Required Skills.

- Strong experience in Python and PySpark development.

- Hands-on experience with Azure Databricks and databricks SQL.

- Experience in Java-based streaming and ingestion frameworks.

- Strong knowledge of Apache Kafka streaming concepts.

- Experience working with PostgreSQL databases.

- Experience with YugabyteDB or Cassandra-based NoSQL databases.

- Strong SQL development and query optimization skills.

- Hands-on experience with GitLab CI/CD pipeline development and deployment automation.

- Understanding cloud-based data engineering and distributed processing concepts.

- Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration.

- Experience designing enterprise-scale data lake or lakehouse architectures.

- Knowledge of streaming architectures and real-time analytics.

- Familiarity with cloud monitoring and observability tools