Key Responsibilities:

Design and build data pipelines and data warehouses to support the collection, storage, and processing of large datasets
Collaborate with cross-functional teams to understand data needs and translate them into technical requirements
Develop and maintain ETL processes to extract, transform, and load data from various sources
Monitor and troubleshoot data pipelines to ensure data accuracy and integrity
Implement data quality checks and proactively identify and address any data issues
Optimize database performance and ensure scalability to support growing data needs
Conduct data analysis to identify insights and trends, and present findings to stakeholders
Stay up-to-date with emerging technologies and industry trends related to data engineering, and make recommendations for improvements to our data infrastructure
Mentor and provide technical guidance to junior data engineers to promote growth and knowledge sharing within the team

Requirements:

Bachelor's degree in Computer Science, Engineering, or a related field
Minimum of 3 years of experience as a Data Engineer or related role
In-depth knowledge of relational databases, SQL, and data modeling concepts
Experience with ETL tools and processes, such as Airflow, Informatica, or Talend
Proficient in programming languages such as Python, Java, or Scala
Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills with the ability to work with large and complex datasets
Excellent communication and collaboration skills to effectively work with cross-functional teams
Proven track record of delivering high-quality data solutions in a fast-paced environment
Experience with data visualization tools, such as Tableau or Power BI, is a plus

Apply now and help us drive data-driven decisions to achieve our business goals.

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