Key Responsibilities:

Design, build, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Develop and implement data models, schemas, and databases to support our reporting and analytics needs.
Optimize data warehouse performance and ensure data quality and integrity.
Collaborate with cross-functional teams to identify data requirements and define data architecture solutions.
Work closely with data analysts and data scientists to provide them with the necessary data infrastructure and tools to perform their analysis.
Monitor and troubleshoot data processes and systems to identify and resolve any issues or bottlenecks.
Stay informed about the latest data engineering technologies and tools, and make recommendations for their adoption to improve efficiency and scalability.
Ensure compliance with data privacy and security regulations.
Document data processes and procedures, and provide training to other team members as needed.

Qualifications:

Bachelor's degree in computer science, engineering, mathematics, or a related field.
Minimum of 3 years of experience in data engineering roles.
Strong knowledge of SQL and experience working with relational databases such as MySQL, Oracle, or SQL Server.
Experience with ETL tools, such as Informatica, Talend, or DataStage.
Proficiency in at least one programming language, such as Python, Java, or Scala.
Experience with cloud-based data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake.
Familiarity with data visualization tools, such as Tableau, Power BI, or Qlik.
Knowledge of data modeling techniques and best practices.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

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