Shared job
Data Engineer IV
Chennai · Staff/Principal
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
MEDIUM
PDI Technologies is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Window passed - posted 46d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
13 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
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
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More Data Engineer roles in Chennai
See allKeep browsing