Data Modeler

2 days ago


chennai, India Tech Mahindra Full time

Project description

Senior Data modeler


Experience: ● 10+ years Data Modeling & Design:


● Develop and maintain conceptual, logical, and physical data models that meet the business requirements.

● Design and implement data models for data warehouses, data marts, and OLAP systems.

● Ensure data models are scalable, maintainable, and optimized for performance.

● Collaborate with database administrators to create efficient database structures (tables, indexes, views).


Tools & Technologies:

● Utilize data modeling tools such as ERwin, Visio, IBM InfoSphere Data Architect, Oracle SQL Developer Data Modeler, or others.

● Work with various database systems, including but not limited to Oracle, SQL Server, MySQL, PostgreSQL, AlloyDB and cloud-based databases like BigQuery, Redshift, or Snowflake.

● Stay current with emerging data modeling trends, tools, and technologies to recommend improvements. Collaboration & Consultation:

● Work closely with business stakeholders to understand data requirements and translate them into data models.

● Act as a liaison between business units and technical teams, ensuring alignment on data architecture strategies.

● Provide expertise and guidance on data modeling best practices to development teams and other stakeholders. Data Governance & Quality:

● Establish and enforce data modeling standards, guidelines, and best practices.

● Ensure data models comply with organizational data governance policies and standards.

● Validate data models to ensure accuracy, completeness, and consistency with business requirements.


Documentation & Communication:

● Document all aspects of data models, including definitions, relationships, and data flow.

● Communicate complex data concepts to non-technical stakeholders in a clear and concise manner.

● Provide training and mentoring to junior data modelers and other team members.


Programming Language: Java, Python, Scala, SQL, etc.

Cloud: GCP, AWS, Azure Streaming: PubSub or Kafka or equivalent

Storage Required: GCS, S3, HDFS / ORC, Parquet, Avro / Delta, Hudi, Iceberg

ETL: Spark or Beam or equivalent

Analysis: BigQuery or Presto or equivalent

Reporting: Looker or Looker Studio or Tableau or PowerBI or equivalent

Orchestration: Airflow or Oozie or equivalent

Databases (SQL) - MySQL, PGSQL, MS SQL Server

Databases (GCP) - Bigtable, Spanner, Memorystore, CloudSQL, AlloyDB, etc.

Databases (NoSQL)- MongoDB, Cassandra, Scylla, Redis, HBase, etc.


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