Senior Data Engineer
1 month ago
Lead Data Engineer
Location: Hybrid - Gurgaon (Office visit - twice a week)
Experience: 6+ years
Are you passionate about leveraging data to drive business decisions? Do you thrive in a collaborative environment where your expertise in data engineering can make a significant impact? If so, we're looking for you to join our team as a Lead Data Engineer.
Key Responsibilities:
- Lead the design, development, and maintenance of scalable data pipelines using Python, PySpark, AWS Glue, and SQL technologies.
- Architect and optimize data models for efficient storage and retrieval using Redshift and Athena.
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
- Mentor and guide junior members of the data engineering team, providing technical leadership and support.
- Ensure data quality and integrity by implementing best practices for data governance and validation.
- Stay up-to-date with emerging technologies and industry trends in data engineering and analytics.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 6+ years of experience in data engineering, with a strong focus on building and optimizing data pipelines.
- Proficiency in Python, PySpark, SQL, AWS Glue, Redshift, and Athena.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Strong problem-solving skills and ability to troubleshoot complex data issues.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Prior experience in a leadership or mentorship role is preferred.
If you're ready to take the next step in your data engineering career and make a meaningful contribution to our team, we want to hear from you Apply now to join us as a Lead Data Engineer.
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