Data Engineer IV

PDI Technologies; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work model

Learning & development programs

Quarterly perks program

Job summary

PDI Technologies is seeking a senior Data Engineer IV to design, develop, and optimize scalable cloud-based data solutions that empower enterprise analytics and BI. You will lead complex data integration initiatives and drive best practices across engineering teams.

The role emphasizes architecture, governance, and collaboration with business units to deliver reliable data platforms while mentoring peers and advancing DevOps maturity.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or related field, or equivalent practical experience.
• 8+ years of experience in data engineering or cloud data platforms.
• Expert experience with AWS data services and modern data engineering practices.
• Strong SQL, Python, and PySpark for scalable ETL/ELT solutions.
• Experience applying AI/ML techniques to data engineering problems.
• Experience with data lakehouse concepts and governance.

Responsibilities

• Design, develop, and optimize scalable cloud-based data pipelines for analytics, reporting, and BI.
• Lead the development of complex data integration solutions using AWS-native technologies.
• Design scalable data models, ingestion, and transformation processes for high-quality analytics.
• Apply data architecture principles to build secure, maintainable data pipelines and models.
• Establish engineering standards, reusable frameworks, and best practices for reliability and scalability.
• Collaborate with business stakeholders to translate analytics requirements into technical solutions.
• Promote DevOps practices with automation, IaC, CI/CD, and monitoring.
• Lead troubleshooting of data platform, integration, and performance issues.
• Mentor engineers, conduct code reviews, and share knowledge across teams.
• Evaluate emerging technologies to enhance platform performance and security.
• Support data governance through data quality and metadata management.

Skills

SQL

Python

PySpark

Terraform

Git

Azure DevOps

CI/CD

Data modeling

Analytics

Mentorship

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

AWS (S3, Glue, Redshift, AppFlow, Lake Formation, Step Functions)

Apache Iceberg

Parquet

Salesforce integrations

NetSuite integrations

Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.

By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

Role Overview

As a Data Engineer IV, you will serve as a senior technical contributor responsible for designing, developing, and optimizing scalable cloud-based data solutions that enable enterprise analytics, reporting, and business intelligence. You will lead the delivery of complex data integration initiatives, establish engineering best practices, and provide technical guidance to other engineers. This role requires a strong understanding of modern data engineering practices and a conceptual understanding of data architecture principles to design scalable, maintainable, and governed data solutions while partnering with business and technology teams to solve complex business problems.

Key Responsibilities

• Design, develop, and optimize scalable cloud-based data pipelines that support enterprise analytics, reporting, and business intelligence.
• Lead the development of complex data integration solutions using AWS-native technologies and modern data engineering practices.
• Design scalable data models, ingestion frameworks, and transformation processes that support reliable, high-quality analytics.
• Apply data architecture principles when designing scalable, secure, and maintainable data pipelines, data models, and integration solutions.
• Establish and promote engineering standards, reusable frameworks, and best practices that improve platform reliability, scalability, and maintainability.
• Partner with business stakeholders to translate reporting and analytics requirements into technical solutions.
• Drive continuous improvement through automation, infrastructure as code, CI/CD, and DevOps best practices.
• Lead troubleshooting and resolution of complex data platform, integration, and performance issues.
• Mentor and provide technical guidance to other data engineers through code reviews, knowledge sharing, and best practice adoption.
• Evaluate emerging technologies and recommend improvements that enhance platform performance, scalability, security, and operational efficiency.
• Support data governance initiatives by promoting data quality, metadata management, and engineering standards across the data platform.

Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in data engineering, cloud data platforms, or related software engineering roles.
• Expert experience developing cloud-based data solutions using AWS technologies such as S3, Glue, Redshift, AppFlow, Lake Formation, Step Functions, and related services.
• Advanced proficiency with SQL, Python, and PySpark for developing scalable ETL/ELT solutions.
• Practical experience with applying AI/ML techniques to data engineering problems, such as automated data quality checks, anomaly detection, or intelligent pipeline monitoring.
• Practical experience developing semantic and contextual layers within a data lake house.
• Strong understanding of dimensional modeling, data warehousing, data lakehouse concepts, Apache Iceberg, Parquet, and modern data engineering practices.
• Experience integrating enterprise platforms such as Salesforce, NetSuite, and other SaaS applications.
• Strong understanding of modern data engineering practices with conceptual knowledge of data architecture principles, including data modeling, governance, metadata management, and scalable cloud data platforms.
• Experience with Infrastructure as Code (Terraform), Git, Azure DevOps, and CI/CD pipelines.
• Demonstrated ability to mentor engineers, influence technical decisions, and drive engineering best practices without formal people leadership.
• Strong analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.

Behavioral Competencies

• Ensures Accountability
• Manages Complexity
• Communicates Effectively
• Balances Stakeholders
• Collaborates Effectively

PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. Weencourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.