Back to Browse Jobs
PDI Technologies
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Chennai · Hybrid · 8-11 Yrs · Oct 8
Software Development · Unknown · Alpharetta, US
4 open roles0 posted in 7d4 in 30d
Work-life balance 3.4Compensation & benefits 3.2Culture & values 2.9
Hiring: Engineering
What employees say
+ flexible work culture and aggressive management.
− recently did layloffs and pivot to AI is also little confusing.
More reviews on the company profile.
Interview experience · Software Engineer-1
Interview process is completely online as it was a covid time at 2021, It was based on my .NET projects. It was a very good interview process and results are published immediately
Average difficulty · Chennai · 8 reports
More interview insightsJob description
Hybrid
Overview
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.
Responsibilities
- 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.
- 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.
- Ensures Accountability
- Manages Complexity
- Communicates Effectively
- Balances Stakeholders
- Collaborates Effectively
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 15 October 2026
- How do I apply for Data Engineer IV Hybrid — Full-time Chennai at PDI Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PDI Technologies may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer IV Hybrid — Full-time Chennai role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer IV Hybrid — Full-time Chennai remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineer IV Hybrid — Full-time Chennai role at PDI Technologies?
- This is a mid-level Data Engineer IV Hybrid — Full-time Chennai role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.