Databricks with AWS & Pyspark

Cognizant; Telangana; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Cognizant Hyderabad is seeking a Sr. Developer with 8–12 years of experience to work on Databricks with AWS and PySpark, focusing on Spark in Scala, Delta Sharing, and Unity Catalog Admin.

You will build scalable data pipelines using Delta Live, Structured Streaming, Airflow, and cloud services like S3 and Redshift, and contribute to risk management data solutions.

Qualifications

• 7+ years of experience in data engineering with Spark and Databricks.
• Strong knowledge of Spark in Scala, Delta Sharing, and Unity Catalog Admin.
• Experience with Delta Live Pipelines, Structured Streaming, and PySpark.

Responsibilities

• Develop scalable data processing solutions using Spark/Scala and Delta sharing.
• Administer Databricks Unity Catalog for governance and security.
• Build and orchestrate data pipelines with Delta Live Pipelines and Airflow.
• Integrate with AWS services (S3, Redshift) and use Databricks SQL for analytics.

Skills

Spark Scala

Unity Catalog

Delta Sharing

Delta Live Pipelines

Structured Streaming

Airflow

Amazon S3

Amazon Redshift

Python

Databricks SQL

PySpark

Databricks Delta Lake

Databricks CLI

Tools

Databricks CLI

Airflow

Amazon S3

Amazon Redshift

Delta Live Pipelines

Delta Sharing

Databricks Delta Lake

Job description

Job Title: - Databricks with AWS & Pyspark
Location: - AIA Hyderabad
Minimum 7 + years of experience

Job Summary

We are seeking a Sr. Developer with 8 to 12 years of experience to join our dynamic team. The ideal candidate will have expertise in Spark in Scala Delta Sharing and Databricks Unity Catalog Admin. This role involves working with cutting-edge technologies like Databricks CLI Delta Live Pipelines and Structured Streaming. The candidate will contribute to risk management solutions and leverage tools such as Apache Airflow Amazon S3 and Amazon Redshift. Proficiency in Python Databricks SQL

Responsibilities

• Develop and implement scalable data processing solutions using Spark in Scala to enhance data-driven decision-making.
• Manage and administer Databricks Unity Catalog to ensure data governance and security compliance.
• Utilize Delta Sharing to facilitate secure and efficient data sharing across various platforms.
• Configure and maintain Databricks CLI for seamless integration and automation of workflows.
• Design and execute Delta Live Pipelines to streamline data ingestion and transformation processes.
• Implement Structured Streaming solutions to handle real-time data processing and analytics.
• Collaborate with cross-functional teams to integrate risk management strategies into data solutions.
• Leverage Apache Airflow for orchestrating complex data workflows and ensuring timely execution.
• Optimize data storage and retrieval using Amazon S3 and Amazon Redshift to improve performance.
• Develop Python scripts to automate data processing tasks and enhance operational efficiency.
• Utilize Databricks SQL for querying and analyzing large datasets to derive actionable insights.
• Implement Databricks Delta Lake to ensure data reliability and consistency across the platform.
• Manage Databricks Workflows to automate and streamline data engineering processes.

Qualifications

• Possess strong expertise in Spark in Scala and Databricks Unity Catalog Admin.
• Demonstrate proficiency in Delta Sharing and Databricks CLI for data management.
• Have experience with Delta Live Pipelines and Structured Streaming for real-time analytics.
• Show capability in risk management and integration with data solutions.
• Be skilled in using Apache Airflow Amazon S3 and Amazon Redshift for data orchestration.
• Exhibit strong Python programming skills for automation and data processing.
• Have a solid understanding of Databricks SQL and Delta Lake for data analysis and reliability.
• Experience with PySpark for distributed data processing is highly desirable.