Data Engineer II
At PDI Technologies · Chennai
- Data and ML
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Where you’ll work
Hybrid, based in Chennai
“Chennai”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 30 July 2026
- First seen by us
- 15 October 2026
- Last checked
- 43 hours ago
Job description
From PDI Technologies’s job post, as they wrote it.
Key Responsibilities
* Design, develop, and maintain cloud-based data pipelines supporting enterprise reporting and analytics.
* Build and optimize ETL/ELT processes using AWS-native data services and modern data engineering practices.
* Integrate enterprise source systems, including Salesforce, NetSuite, and other business applications, into centralized data platforms.
* Develop and maintain scalable data models supporting reporting and business intelligence initiatives.
Read the full description
* Monitor pipeline performance, troubleshoot data issues, and implement improvements to ensure data accuracy and reliability.
* Partner with business stakeholders to understand reporting requirements and translate them into technical solutions.
* Support data governance initiatives by maintaining data quality, metadata, and documentation.
* Contribute to automation, continuous integration, and infrastructure-as-code practices to improve development efficiency.
* Participate in code reviews and promote engineering best practices across the team.
Qualifications
* Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
* 2-4 years of experience in data engineering or cloud data platform development.
* Experience developing data pipelines using AWS services such as S3, Glue, Redshift, AppFlow, and Step Functions.
* Experience working with SQL, Python, and PySpark.
* Understanding of dimensional modeling, data warehousing concepts, and modern data lake technologies.
* Experience integrating enterprise applications such as Salesforce, NetSuite, or similar SaaS platforms.
* Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform preferred).
* Practical experience with applying AI/ML techniques to data engineering problems, such as automated data quality checks, anomaly detection, or intelligent pipeline monitoring
* Strong analytical and problem-solving skills.
* Excellent collaboration and communication skills.
Behavioral Competencies
Ensures Accountability
Manages Complexity
Communicates Effectively
Balances Stakeholders
Collaborates Effectively
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