Senior Data Modeller - ETL/Python (6-9 yrs)

Location : Hyderabad / Bangalore / Pune

Experience : 6-9 Years

Work Mode : Hybrid

Mandatory Skills : ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Data Architect and Supplychain (preferred)

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.

Education :

- B.Tech in any branch or specialization