Senior Data Modeller

16 hours ago

Bengaluru, Karnataka, India Weekday Full time ₹ 8,00,000 - ₹ 24,00,000 per year

This role is for Weekday's client.

Job Description:

We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management.

Key Responsibilities:

  • Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability.
  • Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs.
  • Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions.
  • Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra.
  • Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows.
  • Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models.
  • Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark.
  • Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade.
  • Drive the adoption of best practices and standards for data modeling within the organization.

Skills and Qualifications:

  • Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models.
  • Expertise in Azure and Databricks for building data solutions.
  • Proficiency in ER/Studio, Hackolade, and other data modeling tools.
  • Strong understanding of data modeling principles and techniques (e.g., ERD, UML).
  • Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Solid understanding of data warehousing, ETL processes, and data integration.
  • Familiarity with big data technologies such as Hadoop and Spark is an advantage.
  • Industry Knowledge: A background in supply chain is preferred but not mandatory.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, with the ability to interact with both technical and non-technical stakeholders.
  • Ability to work well in a collaborative, fast-paced environment.

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