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Data Engineering Leader

3 weeks ago

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Job Overview

We are seeking a highly skilled Lead Data Engineer to lead and guide our growing data team. This is a strategic role where you will design scalable data infrastructure, drive technical excellence, and collaborate with cross-functional teams to shape our data strategy and solutions.

About the Role

The successful candidate will be responsible for leading the design, development, and optimization of scalable data pipelines and ETL workflows. You will also architect and implement robust data solutions to meet business needs and ensure high performance and reliability.

  • Data Pipeline Development: Design, develop, and optimize scalable data pipelines and ETL workflows.
  • Data Solution Architecture: Architect and implement robust data solutions to meet business needs and ensure high performance and reliability.
  • Cross-Functional Collaboration: Collaborate with engineering, product, and data teams to define and execute the data strategy.
Requirements

To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Computer Engineering, or a related field. You should also have 6+ years of experience in data engineering, with at least 2+ years in a lead or senior role.

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

  2. 6+ years of experience in data engineering, with at least 2+ years in a lead or senior role.

  3. Strong expertise in Python and SQL for building data pipelines and performing data analysis.

  4. Hands-on experience with relational and NoSQL databases (PostgreSQL, MongoDB, or Snowflake).

  5. Deep knowledge of cloud services such as AWS (S3, Lambda, Glue) and orchestration tools like Apache Airflow.

  6. Experience in architecting data solutions and optimizing large-scale data workflows.

  7. Strong understanding of data governance, security best practices, and version control systems (Git).

  8. Proven leadership skills, including guiding and mentoring technical teams.

  9. Excellent communication and collaboration skills.

  10. Strong written and spoken English skills.