Key Responsibilities:

Design, build, and maintain scalable data pipelines and ETL processes to support data processing and analysis.
Develop and implement data warehouse and data lake solutions to store and manage large volumes of data.
Collaborate with data scientists and analysts to understand their data needs and requirements.
Optimize data infrastructure and systems for performance, reliability, and scalability.
Create and maintain documentation on data infrastructure and processes.
Ensure data quality and integrity through data validation and testing.
Troubleshoot and resolve data-related issues in a timely manner.
Keep up-to-date with emerging data technologies and tools to continuously improve our data infrastructure and processes.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
3+ years of experience as a Data Engineer or a similar role.
Strong programming skills in at least one language (Python, Java, Scala, etc.).
Experience with data warehouse and data lake solutions (e.g. Redshift, Snowflake, Hadoop, Spark).
Proficiency in SQL and data modeling for relational and dimensional databases.
Familiarity with cloud computing platforms (AWS, Azure, GCP) and their data services.
Understanding of data security and privacy principles.
Excellent problem-solving and analytical skills.
Proven ability to work in a fast-paced and collaborative environment.
Strong communication and interpersonal skills.

Why Join Us?

At our company, we value diversity, creativity, and innovation. As a Data Engineer, you will have the opportunity to work on cutting-edge technologies and contribute to the growth and success of our company. We offer a competitive salary, comprehensive benefits package, and a supportive work culture that encourages continuous learning and career development.

Apply now and be a part of our dynamic team!

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