Key Responsibilities:

Design, implement and maintain our data warehouse and data pipelines to support business reporting and analytics
Partner with cross-functional teams to understand business requirements and translate them into technical solutions
Develop and maintain ETL processes to ensure timely and accurate data flows from various sources into our data warehouse
Build and maintain data models to enable efficient data retrieval and reporting
Identify and troubleshoot data quality issues, ensuring data accuracy and completeness
Monitor and optimize the performance of data pipelines and warehouse to ensure efficient data processing and storage
Collaborate with data analysts and data scientists to develop and implement data-driven solutions
Stay updated on the latest trends and technologies in data engineering and analytics and make recommendations for process improvements
Ensure data security and privacy by implementing appropriate access controls and data governance policies
Mentor and train junior team members on data engineering best practices and tools

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
Proven experience as a Data Engineer, Analytics Engineer, or similar role
Strong proficiency in SQL and experience working with relational databases, such as MySQL, PostgreSQL, or SQL Server
Experience with ETL tools, such as Informatica, Talend, or DataStage
Hands-on experience with data warehouse design and implementation using cloud-based platforms, such as AWS, Google Cloud, or Azure
Familiarity with data modeling and data warehousing concepts, such as star schema, snowflake schema, and dimensional modeling
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills to work effectively with cross-functional teams
Ability to work in a fast-paced and dynamic environment, managing multiple projects simultaneously
Experience with scripting languages, such as Python or Bash, is a plus
Knowledge of data visualization tools, such as Tableau, Power BI, or Looker, is a plus
Relevant certifications, such as Google Cloud Professional Data Engineer or AWS Certified Big Data Specialty, are a plus

Apply now and make an impact with your technical skills and expertise.

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