Associate

Cognizant Technology Solutions Corporation; Asia; On-site; PEN 277,000 - 312,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking an Experienced Data Engineer to join our Banking and Financial Services domain. You will design, build, and optimize large-scale data pipelines using Spark, PySpark, and Azure services, delivering high-quality data solutions for strategic business initiatives.

We value hands-on expertise across SDLC, agile and waterfall, and mentoring capabilities to guide junior developers as you drive production reliability and data governance across

Qualifications

• Over 7+ years in data engineering within Banking and Financial Services.
• Proficient with Spark, PySpark, Spark SQL, HDFS, ADLS2, Azure Synapse Analytics, Python.
• Azure DP-203: Azure Data Engineer Associate certification with hands-on in data integration.

Responsibilities

• Collaborate with cross-functional teams to analyze, design, and implement scalable data engineering solutions.
• Design, develop, and optimize enterprise-grade data processing pipelines using PySpark and Spark SQL.
• Build and maintain data ingestion, transformation, and aggregation frameworks leveraging Spark DataFrames, Hive, HDFS, and ADLS2.
• Perform Spark performance tuning and optimization to improve resource utilization and processing efficiency.
• Develop Spark SQL and HiveQL queries to support business-critical data processing requirements.
• Implement robust data transformation logic following coding standards and best practices.
• Investigate, troubleshoot, and resolve production issues via log analysis and root cause identification.
• Drive operational excellence with proactive monitoring and reliability improvements.
• Configure, schedule, and manage enterprise data workflows using BMC Control-M.
• Manage source code with Git and Bitbucket.
• Create and review Change Requests (CRQs) per governance processes.
• Maintain technical docs, deployment procedures, and operational artifacts.
• Support production releases and platform upgrades ensuring service continuity.
• Mentor junior developers with technical guidance.

Skills

Apache Spark

PySpark

Spark SQL

HDFS

ADLS2

Azure Synapse Analytics

Python

HiveQL

Databricks

ServiceNow

Bitbucket

Jenkins

CI/CD Pipeline

Git

BMC Control-M

Education

DP-203 Data Engineering

Databricks Data Engineering

IBM AI Skill Badge

Cognizant Prompt & Context Engineering

AI Security & Governance by Securiti

Tools

Bitbucket

Jenkins

CI/CD Pipeline Implementation

Git

BMC Control-M

Job description

What makes Cognizant a unique place to work? The combination of rapid growth and an unique place international and innovative environment! This is creating many opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

Position Summary

Experienced Data Engineer with over 7+ years of expertise in designing, developing, and optimizing large-scale data engineering solutions within Banking and Financial Services domains. Proficient in Apache Spark, PySpark, SparkSQL, HDFS, Hive, ADLS2, Azure Synapse Analytics, Python, and HBase, with strong experience in building scalable data ingestion, transformation, and processing frameworks. Microsoft Certified DP-203: Azure Data Engineer Associate, demonstrating expertise in designing and implementing data integration, storage, processing, monitoring, and security solutions in Azure environments. Extensive experience working across complete Software Development Life Cycle (SDLC) phases using Agile and Waterfall methodologies. Skilled in performance tuning, troubleshooting, production support, root cause analysis, and delivering high-quality solutions in complex enterprise environments. Proven track record of leading technical initiatives, mentoring team members, driving successful production implementations, and collaborating with cross-functional stakeholders to deliver business-critical projects on time and with high quality. Recognized for strong analytical thinking, problem-solving capabilities, customer focus, and commitment to continuous learning and innovation.

Mandatory Skills

1. Skills/Tools: Apache Spark, PySpark, Spark SQL, HDFS, ADLS2, Azure Synapse Analytics, ServiceNow, Enterprise Control-M, BT-Control-M.
2. Cloud & Data Platforms: Azure Data Lake Storage (ADLS2), Azure Synapse Analytics, Databricks.
3. Programming Languages: Python, HiveQL, Spark SQL.
4. Databases: Hive, MySQL.
5. Build & Deployment Tools: Bitbucket, Jenkins, CI/CD Pipeline Implementation.
6. Job Scheduling Tools: BMC Control-M.
7. Monitoring & Troubleshooting: Spark Logs Analysis, Root Cause Analysis, Production Support.
8. ITSM Tools: ServiceNow.
9. Security & Compliance: Data Governance, Security Best Practices, Change Management.
10. Domain Expertise: Banking and Financial Services.

Roles And Responsibilities

1. Collaborate with cross-functional teams to analyze, design, and implement scalable data engineering solutions.
2. Design, develop, and optimize enterprise-grade data processing pipelines using PySpark and Spark SQL.
3. Build and maintain scalable data ingestion, transformation, and aggregation frameworks leveraging Spark DataFrames, Hive, HDFS, and ADLS2.
4. Perform Spark performance tuning and optimization to improve resource utilization and processing efficiency.
5. Develop complex Spark SQL and HiveQL queries to support business-critical data processing requirements.
6. Design and implement robust data transformation logic while adhering to coding standards and best practices.
7. Investigate, troubleshoot, and resolve production issues through detailed log analysis and root cause identification.
8. Drive operational excellence by implementing proactive monitoring and reliability improvements.
9. Configure, schedule, and manage enterprise data workflows using BMC Control-M.
10. Manage source code versioning and collaboration through Git and Bitbucket.
11. Create, review, and implement Change Requests (CRQs) in accordance with organizational governance processes.
12. Maintain comprehensive technical documentation, deployment procedures, and operational support artifacts.
13. Support production releases and platform upgrade activities while ensuring service continuity.
14. Mentor junior developers and provide technical guidance to team members.

Qualifications/Certifications

1. DP-203 Data Engineering.(https://learn.microsoft.com/api/credentials/share/en-us/KirankumarM-6415/51F75659117B3D95?sharingId=2625DA67DB3FD434)
2. Data Engineering with Databricks
3. IBM Skill Badge - Artificial Intelligence
4. Cognizant Certification - Prompt and Context Engineering
5. AI Security & Governance by Securiti

Salary Range: 80k-90k

Date of Posting: 3/11/2026

http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.