Data Engineer-Data Modeling

Role overview

Data Engineer-Data Modeling at IBM

Data Warehousing Knowledge: Exposure to data warehousing concepts and methodologies, including data governance and data quality, is beneficial for this role.

Responsibilities

• You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.

Employment details

• India Data & Analytics Hybrid Professional Hyderabad, IN Hyderabad (0063) IBM India Private Limited Big Data Data Governance Data Modeling Data Quality Data Warehousing Databases Design Dimensional Modeling Erwin Extract, Transform, Load Hadoop Inform Modeling Not Only Structured Query Language Business Requirements analysis Mobile Device Management Modeling Tools Complex Data Data Integrity
• Location: Hyderabad [India]

Application details

• You will apply your expertise in data modeling tools and techniques to deliver high-quality solutions.
• Apply Data Modeling Expertise: Utilize expertise in data modeling tools and techniques, including ERWin, MDM, and/or ETL, to develop logical and physical data models.
• Data Modeling Tools: Experience with data modeling tools such as ERWin, MDM, and/or ETL, with the ability to apply expertise in these tools to develop logical and physical data models.

About the employer

• A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
• With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact.

Additional role details

• You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
• At IBM Consulting, curiosity fuels success.
• Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
• As a Data Engineer specializing in Data Modeling, you will design and implement data models for applications and related systems, translating business needs into logical and physical data models.
• Your primary responsibilities will include:
• Design Data Models: Design and implement data models for applications and related systems, ensuring alignment with business needs and requirements.
• Translate Business Needs: Translate business needs into logical and physical data models, ensuring data models meet business requirements and are properly implemented.
• Implement Data Models: Implement data models for applications and related systems, ensuring data integrity and consistency across systems.
• Data Model Design: Experience with designing and implementing data models for applications and related systems, ensuring alignment with business needs and requirements.
• Logical and Physical Data Models: Experience with developing logical and physical data models, translating business needs into technical solutions.
• Data Integrity and Consistency: Experience with implementing data models that ensure data integrity and consistency across systems.
• Business Requirements Analysis: Experience with analyzing business needs and requirements to inform data model design and implementation.
• Advanced Data Modeling: Experience with advanced data modeling techniques, such as data vault and dimensional modeling, can be an asset in designing and implementing complex data models.
• Big Data Technologies: Familiarity with big data technologies, including Hadoop and NoSQL databases, can be advantageous in developing scalable data models.