Data Management Developer
Computer Data Concepts Inc Chicago
Role: Data Management Developer
Location - Chicago IL2 Lead position ( 12 plus Years of Experience)
6 Senior Developer ( 8-12 years)
4 Developer ( 5 to 8 years)
Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.The ideal candidate will have a strong background in data management, programming, and cloud-based data platforms.
Key Responsibilities:- Develop and maintain data pipelines using PySpark to process and transform large volumes of data.
- Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications.
- Manage and administer cloud-based data platforms such as Snowflake and Redshift, ensuring high availability, scalability, and performance.
- Collaborate with cross-functional teams to understand data requirements and deliver tailored data solutions.
- Implement data governance policies and procedures to ensure data quality, consistency, and security.
- Monitor and troubleshoot data issues, ensuring timely resolution and minimal impact on business operations.
- Stay updated with the latest trends and technologies in data management, cloud computing, and big data analytics.
- Provide technical guidance and mentorship to junior data management team members.
Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
Minimum of 5 years of experience in data management, data engineering, or related role.Strong programming skills in Python and experience with PySpark for data processing and analytics.
Hands-on experience with DataBricks for building and optimizing data pipelines.
Proficiency in managing and administering cloud-based data platforms such as Snowflake and/or Redshift.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Excellent analytical, problem-solving, and communication skills.
Ability to work effectively in a fast-paced environment and manage multiple priorities.
Preferred Qualifications: Certifications in PySpark, DataBricks, Snowflake, or Redshift.
Experience with other data management tools and technologies.Knowledge of machine learning algorithms and techniques.
Experience working in banking and payments domain
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