Lead Data Engineer - Python/PySpark (8-12 yrs)

We are hiring Lead Data Engineer for US based product MNC having operations in multiple countries, for more details please feel free to contact.

Job Responsibilities :

As a Lead Data Engineer, you will play a critical role in the design, development, and maintenance of data pipelines, data architecture, and data systems with project deliverable and task management of team.

You will lead a team of data engineers, collaborate with data scientists, architects, and work closely with other cross-functional teams to deliver high-quality, reliable, and scalable data solutions.

Qualifications :

- Bachelor's or Master's degree in computer science, Engineering, or a related field.

- Proven experience (8+ years) as a Data Engineer, with demonstrated expertise in leading data engineering teams.

- Proficiency in Python and PySpark, with a strong understanding of distributed computing and big data processing.

- Proficiency in real time data processing application with dashboard insight on UI.

- Extensive experience with AWS data services, including but not limited to S3, EMR, Redshift, Glue, Lake Formation, Lambda, SNS and CloudWatch.

- Strong knowledge of database systems, data modelling, and data warehousing principles.

- Experience in data pipeline orchestration tools like Apache Airflow, Event Bridge and Step Functions.

- Familiarity with data governance, security, and compliance practices.

- Excellent problem-solving and analytical skills, with a keen attention to detail.

- Strong communication skills and ability to effectively convey technical concepts to non-technical stakeholders.

- Leadership and mentoring abilities, with a track record of successfully leading and managing a team of data engineers.

- Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.