DataEconomy
Sr. Data Modeler
DataEconomy, Chicago, Illinois, United States, 60290
Job Information
Industry:
IT Services
City:
Chicago
State/Province:
Illinois
Country:
United States
Zip/Postal Code:
60602
About UsAbout DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices in Dublin, OH, Providence, RI, and an advanced technology center in Hyderabad, India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.
Job DescriptionSr. Data Modeler
Location:
Chicago, IL
Employment Type:
Full-time
Key Skills Required:
Data Modelling:
Extensive experience in data modelling, including conceptual, logical, and physical data models.
DRB (Data Resource Book):
Strong experience with DRB methodologies and tools.
Database Design:
Proficiency in database design and development, including normalization, indexing, and partitioning.
SQL:
Advanced SQL skills for querying and managing databases.
ETL Processes:
Knowledge of ETL (Extract, Transform, Load) processes and data integration techniques.
Data Warehousing:
Experience with data warehousing concepts and best practices.
Tools:
Proficiency in data modelling tools such as Erwin, IBM InfoSphere Data Architect, or similar.
Big Data Technologies:
Familiarity with Big Data technologies such as Hadoop, Spark, and NoSQL databases is a plus.
Cloud:
Good understanding of Cloud (AWS/GCP/Azure).
Data Governance:
Good understanding of data governance, data management, data engineering, data visualization concepts and tools used in the industry.
Collaboration:
Excellent communication and teamwork skills for collaborating with business analysts, data architects, and developers.
Responsibilities:
Design and develop robust data models to support business requirements, ensuring consistency, quality, and accuracy.
Utilize DRB methodologies to create and maintain comprehensive data resource books.
Collaborate with business analysts and stakeholders to gather and interpret requirements, translating them into effective data models.
Develop and optimize database schemas, ensuring efficient data storage and retrieval.
Support ETL processes and data integration initiatives, ensuring data consistency and integrity across systems.
Implement data warehousing solutions, supporting reporting and analytics needs.
Ensure compliance with data governance policies and standards.
Conduct data profiling and analysis to identify and resolve data quality issues.
Provide guidance and mentorship to junior data modelers and data engineers.
Stay updated with industry trends and advancements in data modelling and database technologies.
Requirements:
Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
15+ years of experience in data modelling, database design, and data management.
Strong experience with DRB methodologies and tools.
Proficiency in SQL and data modelling tools such as Erwin or IBM InfoSphere Data Architect.
Solid understanding of data warehousing concepts and ETL processes.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills.
Ability to work effectively in a team-oriented, collaborative environment.
Familiarity with Big Data technologies is a plus.
Benefits:Standard Full-time benefits.
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Industry:
IT Services
City:
Chicago
State/Province:
Illinois
Country:
United States
Zip/Postal Code:
60602
About UsAbout DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices in Dublin, OH, Providence, RI, and an advanced technology center in Hyderabad, India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.
Job DescriptionSr. Data Modeler
Location:
Chicago, IL
Employment Type:
Full-time
Key Skills Required:
Data Modelling:
Extensive experience in data modelling, including conceptual, logical, and physical data models.
DRB (Data Resource Book):
Strong experience with DRB methodologies and tools.
Database Design:
Proficiency in database design and development, including normalization, indexing, and partitioning.
SQL:
Advanced SQL skills for querying and managing databases.
ETL Processes:
Knowledge of ETL (Extract, Transform, Load) processes and data integration techniques.
Data Warehousing:
Experience with data warehousing concepts and best practices.
Tools:
Proficiency in data modelling tools such as Erwin, IBM InfoSphere Data Architect, or similar.
Big Data Technologies:
Familiarity with Big Data technologies such as Hadoop, Spark, and NoSQL databases is a plus.
Cloud:
Good understanding of Cloud (AWS/GCP/Azure).
Data Governance:
Good understanding of data governance, data management, data engineering, data visualization concepts and tools used in the industry.
Collaboration:
Excellent communication and teamwork skills for collaborating with business analysts, data architects, and developers.
Responsibilities:
Design and develop robust data models to support business requirements, ensuring consistency, quality, and accuracy.
Utilize DRB methodologies to create and maintain comprehensive data resource books.
Collaborate with business analysts and stakeholders to gather and interpret requirements, translating them into effective data models.
Develop and optimize database schemas, ensuring efficient data storage and retrieval.
Support ETL processes and data integration initiatives, ensuring data consistency and integrity across systems.
Implement data warehousing solutions, supporting reporting and analytics needs.
Ensure compliance with data governance policies and standards.
Conduct data profiling and analysis to identify and resolve data quality issues.
Provide guidance and mentorship to junior data modelers and data engineers.
Stay updated with industry trends and advancements in data modelling and database technologies.
Requirements:
Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
15+ years of experience in data modelling, database design, and data management.
Strong experience with DRB methodologies and tools.
Proficiency in SQL and data modelling tools such as Erwin or IBM InfoSphere Data Architect.
Solid understanding of data warehousing concepts and ETL processes.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills.
Ability to work effectively in a team-oriented, collaborative environment.
Familiarity with Big Data technologies is a plus.
Benefits:Standard Full-time benefits.
#J-18808-Ljbffr