Data Management Strategy & Governance Associate Advisor

Careernet; Hyderabad; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Careernet is seeking an experienced Data Engineer to design and deliver scalable data solutions aligned with enterprise governance. You will build cloud-based data workflows using AWS and Databricks, translating complex logic into modular data components and collaborating on platform evolution.

Ideal candidates will have 8–11 years in data engineering or analytics engineering, with strong Python, Databricks, and governance experience, plus solid AWS and Spark capabilities.

Qualifications

• 8 to 11 years of experience in application development, data engineering, or analytics engineering.
• Strong hands-on experience in Python, Databricks, and data governance practices.
• Solid architecture and platform experience across AWS services and enterprise data environments.
• Experience handling large datasets, Spark-based processing, and scalable analytics workloads.
• Working knowledge of HTTP API/RPC development, SDLC practices, and production-grade engineering delivery.

Responsibilities

• Design and deliver scalable data engineering solutions aligned to enterprise architecture and governance standards.
• Build and support cloud-based data workflows using AWS services, Databricks, and related analytics platforms.
• Translate complex business logic into modular, maintainable code and reusable data components.
• Partner with engineering teams on solution design, technical trade-offs, and platform evolution decisions.
• Support CI/CD practices, code reviews, and release readiness across data engineering delivery streams.

Skills

Data governance

Databricks

Python

SQL

Education

Bachelor's degree in Engineering/CS

Tools

AWS

Spark

Databricks

Job description

Key Skills:

Data Governance, Databricks, Python, SQL

Roles and Responsibilities:

• Design and deliver scalable data engineering solutions aligned to enterprise architecture and governance standards.
• Build and support cloud-based data workflows using AWS services, Databricks, and related analytics platforms.
• Translate complex business logic into modular, maintainable code and reusable data components.
• Partner with engineering teams on solution design, technical trade-offs, and platform evolution decisions.
• Support CI/CD practices, code reviews, and release readiness across data engineering delivery streams.

Skills Required:

• 8 to 11 years of relevant experience in application development, data engineering, or analytics engineering.
• Strong hands-on experience in Python, Databricks, and data governance practices.
• Solid architecture and platform experience across AWS services and enterprise data environments.
• Experience handling large datasets, Spark-based processing, and scalable analytics workloads.
• Working knowledge of HTTP API/RPC development, SDLC practices, and production-grade engineering delivery.

Good to Have:

• SQL

Education:

Bachelor's degree in Engineering, Computer Science, or a related discipline.