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