Senior Azure Data Engineer: Spark + Synapse

Cognizant; Teaneck Township (NJ); On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Career growth

Education & training

Wellness packages

Job summary

Cognizant is seeking an experienced Sr Azure Data Engineer to design, build, and optimize scalable data pipelines across PySpark, Azure Synapse Analytics, SQL, and related Big Data technologies. The role focuses on designing enterprise-grade analytics solutions in Microsoft Azure environments.

The ideal candidate will translate business requirements into robust data architectures, implement ingestion, transformation, validation, and governance, and mentor junior engineers while ensuring

Qualifications

• 8 to 15 years of IT experience with focus on data engineering, Big Data platforms, and cloud data solutions.
• 5+ years hands-on experience in PySpark, Spark SQL, Python, and data pipeline development.
• 3+ years working with Azure Synapse Analytics and Azure cloud data services.

Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark and Azure Synapse Analytics.
• Build and optimize ETL/ELT workflows for large-volume data processing.
• Develop and support Azure Synapse pipelines, notebooks, SQL scripts, and data transformations.

Skills

PySpark

Spark SQL

Python

SQL

Data pipelines

Azure Synapse Analytics

Azure Databricks

Tools

Azure Data Factory

Azure Databricks

Hadoop

HDFS

Hive

Kafka

Job description

Cognizant is seeking an experienced Sr Azure Data Engineer to design, build, and optimize scalable data pipelines across PySpark, Azure Synapse Analytics, SQL, and related Big Data technologies. The role focuses on designing enterprise-grade analytics solutions in Microsoft Azure environments.

The ideal candidate will translate business requirements into robust data architectures, implement ingestion, transformation, validation, and governance, and mentor junior engineers while ensuring