Data Engineer
Summary
Builds and maintains data pipelines to acquire, clean, transform, and store large datasets while ensuring data quality and governance; collaborates with teams to design data solutions and mentor junior analysts.
Description
We are seeking a skilled Data Engineer to join our team. The ideal candidate will have extensive experience in building and managing data pipelines, ensuring data quality, and collaborating with cross-functional teams to support data-driven decision making.
Responsibilities
Ability to manage and organize large datasets, including data acquisition, cleaning, transformation, and storage. Develop and implement data governance policies and procedures to ensure the accuracy, completeness, and security of our data. Collaborate with cross-functional teams to design and implement data solutions that meet business requirements. Develop and maintain data dictionaries, metadata, and other documentation to support data management and analysis. Develop and maintain data quality metrics and processes to monitor and improve data quality. Provide technical leadership and guidance to the team, including mentoring junior data analysts. Stay up-to-date with emerging trends and technologies in data management and analysis. Strong understanding of data governance and data quality principles. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills.
Skills and Qualifications
Degree/ qualifications in Computer Science, Information Management, or a related field. Experience with data management tools such as SQL, Python, or R. Professional certifications in data management, such as Certified Data Management Professional (CDMP) or Data Management Association Certified Data Management Professional (DAMA-CDMP). Experience with big data technologies such as Hadoop or Spark. Experience with cloud-based data management platforms such as AWS or Azure. Experience with machine learning and predictive analytics.
We are seeking a skilled Data Engineer to join our team. The ideal candidate will have extensive experience in building and managing data pipelines, ensuring data quality, and collaborating with cross-functional teams to support data-driven decision making.
Responsibilities
Ability to manage and organize large datasets, including data acquisition, cleaning, transformation, and storage. Develop and implement data governance policies and procedures to ensure the accuracy, completeness, and security of our data. Collaborate with cross-functional teams to design and implement data solutions that meet business requirements. Develop and maintain data dictionaries, metadata, and other documentation to support data management and analysis. Develop and maintain data quality metrics and processes to monitor and improve data quality. Provide technical leadership and guidance to the team, including mentoring junior data analysts. Stay up-to-date with emerging trends and technologies in data management and analysis. Strong understanding of data governance and data quality principles. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills.
Skills and Qualifications
Degree/ qualifications in Computer Science, Information Management, or a related field. Experience with data management tools such as SQL, Python, or R. Professional certifications in data management, such as Certified Data Management Professional (CDMP) or Data Management Association Certified Data Management Professional (DAMA-CDMP). Experience with big data technologies such as Hadoop or Spark. Experience with cloud-based data management platforms such as AWS or Azure. Experience with machine learning and predictive analytics.