Data Engineer

ValueMomentum; Edison (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions firm in New Jersey is seeking a Tech Lead – Databricks Data Engineer to design and develop data pipelines. Candidates must have 10-12 years of experience in data ingestion, processing, and analytics, along with strong skills in SQL, Python, and PySpark. This position involves collaboration with business teams and requires hands-on experience with Azure services such as Databricks and Data Factory, as well as DevOps knowledge. The role offers a challenging environment to leverage data for advanced analytics.

Qualifications

• 10-12 years of experience in data ingestion, processing, and analytical pipelines.
• Hands-on experience with Azure services like Databricks and Data Factory.
• Familiarity with CI/CD deployments.

Responsibilities

• Design and develop ETL pipelines using ADF.
• Collaborate with Azure modules like Data Lakes to build solutions.
• Write efficient SQL, Python, and PySpark code.

Skills

SQL

Python

PySpark

DevOps

Attention to detail

Strong communication skills

Tools

Azure Databricks

Data Factory

SQL DW

ADLS

Synapse

Azure SQL DB

Job description

Title: Tech Lead – Databricks Data Engineer

Location: Edison, NJ (Onsite)

About the job

We are seeking a Tech Lead – Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake. The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics solutions.

Responsibilities

• Design and develop ETL pipelines using ADF for data ingestion and transformation.
• Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.
• Write SQL, Python, and PySpark code for efficient data processing and transformation.
• Understand and translate business requirements into technical designs.
• Develop mapping documents and transformation rules as per project scope.
• Communicate project status with stakeholders, ensuring smooth project execution.

Requirements Must have

• 10-12 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.
• Hands‑on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.
• Experience in SQL, Python, and PySpark for data transformation and processing.
• Familiarity with DevOps and CI/CD deployments.
• Strong communication skills and attention to detail in high-pressure situations.
• Experience in the insurance or financial industry is preferred.