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Job Description
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.
Job Description
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.