Role : Lead Data Engineer

Experience : 10+ Years

Location : Hyderabad- (Only Hyderabad candidates can apply)

Shift Timings : 12:00 Pm - 09: 00 Pm IST

We're looking for a talented Data Engineer to join our squad of 100 Data & BI Engineers, working on our Audience Intelligence Platform. You will be helping to build the leading data management and analytics platform for the sports industry.

In this role, you'll work with cutting-edge technologies to design, build, and optimize scalable data solutions, enabling teams, leagues, and organizations to unlock the full potential of their data.

If you're passionate about data engineering, enjoy collaborating in a fast-paced environment, and want to make an impact in the sports indusrty, we'd love to hear from you!

Your role will be varied and evolve as quickly as you can learn and develop.

Your initial duties will involve :

- Design, build, and test scalable data platform solutions in Azure, leveraging tools like ADF, Datab

Requirements :

You will have experience with the following :

- Experience in designing, building, and testing solutions within a data lakehouse environment.

- Proficiency in Python and PySpark for data processing and analytics.

- Hands-on experience with Azure, preferably ADF, Databricks, and Function Apps.

- Familiarity with CI/CD pipelines using Azure DevOps or similar tools.

- Ability to work within established development frameworks and adhere to coding standards.

- Excellent communication skills, with an ability to articulate blockers and timelines to non-technical stakeholders.

- Strong teamwork skills, with a collaborative mindset and desire to learn from others.

- Strong SQL skills for querying and managing data.

- A proactive attitude with a passion for continuous learning and growth.

- High attention to detail and commitment to delivering quality work.

- Comfortable working in a fast-paced environment, with the ability to estimate tasks and deliver incremental value effectively.

Key Skills :

- AWS, Lambda, Strong OOPs concepts, Snowflakes, SQL, CI/CD, Python, Pyspark.