Data Management Developer

Role: Data Management Developer

Location Chicago IL

2 Lead position ( 12 plus)
6 Senior Developer ( 812 years)
4 Developer ( 5 to 8 years)

Position ID: TBD

Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organizations 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 cloudbased data platforms.

Key Responsibilities:

1. Develop and maintain data pipelines using PySpark to process and transform large volumes of data.

2. Design implement and optimize data solutions using DataBricks for data analytics and machine learning applications.

3. Manage and administer cloudbased data platforms such as Snowflake and Redshift ensuring high availability scalability and performance.

4. Collaborate with crossfunctional teams to understand data requirements and deliver tailored data solutions.

5. Implement data governance policies and procedures to ensure data quality consistency and security.

6. Monitor and troubleshoot data issues ensuring timely resolution and minimal impact on business operations.

7. Stay updated with the latest trends and technologies in data management cloud computing and big data analytics.

8. Provide technical guidance and mentorship to junior data management team members.

Qualifications:

Bachelors degree in Computer Science Information Systems or related field; Masters 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.

Handson experience with DataBricks for building and optimizing data pipelines.

Proficiency in managing and administering cloudbased data platforms such as Snowflake and/or Redshift.

Solid understanding of data modeling ETL processes and data warehousing concepts.

Excellent analytical problemsolving and communication skills.

Ability to work effectively in a fastpaced 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