Senior Data Engineer

3 weeks ago

Gandhinagar, India Evolent Full time

Responsibilities:

1. Lead the design, development, and deployment of complex data solutions, ensuring scalability and maintainability.

2. Architect and implement high-performance data pipelines and data warehousing solutions that support critical business functions.

3. Collaborate closely with cross-functional teams, including product managers, UX designers, and other engineers, to translate business needs into technical data solutions.

4. Conduct thorough code reviews, providing constructive feedback and ensuring adherence to best coding practices.

5. Mentor and coach junior data engineers, fostering a culture of continuous learning and technical excellence.

6. Identify and implement improvements to the data engineering lifecycle, including automation, testing, and CI/CD pipelines.

7. Troubleshoot and resolve production data issues, working to ensure high availability and reliability of data services.

8. Evaluate and integrate new tools, frameworks, and technologies to improve data engineering processes and team productivity.

9. Drive the technical vision for data projects, contributing to architectural discussions and long-term planning.

Requirements:

1. Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent practical experience.

2. 5+ years of professional data engineering experience, with a proven track record of delivering complex, scalable data solutions.

3. Expertise in database design and optimization for both SQL and NoSQL databases.

Hands on experience on SQL/DBMS, Python, OOPS concept

5. Proficiency in multiple programming languages, such as Python, SQL, or Java, and familiarity with their ecosystems.

6. Deep understanding of data architecture patterns, such as data warehousing, ETL processes, and dimensional modeling.

7. Experience with data technologies (e.g., Hadoop, Spark, Redshift) and cloud computing platforms (e.g., Azure, AWS, Google Cloud).

8.Excellent problem-solving skills, with the ability to diagnose and resolve complex data issues quickly.

9. Strong communication skills, with the ability to lead technical discussions, present to stakeholders, and write detailed documentation


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