Lead Data Engineer

Roles and responsibilities

We are seeking an experienced and talented Senior Data Engineer to join our dynamic team. In this pivotal role, you will be responsible for designing, implementing, and maintaining our data architecture and infrastructure, ensuring that our data strategies align with the company’s evolving needs.

Key Responsibilities:

As a Senior Data Engineer, you will design and develop scalable data architectures that effectively support the company’s data requirements. You will implement robust data models to guarantee data accuracy, consistency, and reliability. This includes creating and optimizing ETL (Extract, Transform, Load) processes to seamlessly extract data from various sources and load it into our data warehouse.

A critical aspect of your role will be implementing and enforcing data quality standards. You will monitor data pipelines and queries, optimizing performance to ensure efficiency and reliability. Additionally, you will be responsible for creating and maintaining comprehensive documentation related to data engineering processes, data models, and systems. Collaborating closely with data analysts, product managers, and other stakeholders will be essential to understand and address their data requirements effectively.

This is an exciting opportunity to play a key role in shaping the data landscape of our organization. If you are a driven and talented data engineer looking for a challenging and rewarding role in a collaborative environment, we invite you to apply and help us harness the power of data to drive our business forward.

Desired candidate profile

Requirements:

To be successful in this position, you should possess proven professional experience in data engineering. Proficiency in SQL is essential, along with experience working with both relational and columnar databases, such as PostgreSQL and Redshift. Strong programming skills in Python are required to facilitate data manipulation and analysis.

Experience with cloud platforms, particularly AWS, is crucial, as is familiarity with data modeling, ETL processes, and data warehousing concepts. We are looking for individuals with strong problem-solving and analytical skills, who can communicate effectively and collaborate well in a fast-paced environment. The ability to work both independently and as part of a team is vital.