Data Modeller

6 months ago

Bengaluru, India Team 4 Progress Full time

**Job ID**: 4850

**Experience**: 7 to 13

Bangalore, Hyderabad, Pune

**Salary**:
35LPA
- 7-13 Years of total experience

**Responsibilities**:

- Spearhead the development of conceptual, logical, and physical data models, while implementing data marts/data warehouse/data lake/data lakehouse on Spark-based platforms
- Analyse existing models to identify variances/gaps and devise strategies to achieve alignment.
- Establish and enforce best practices and standards for data models.
- Generate Data Flow diagrams and relevant artifacts to depict data integrations within targeted systems.
- Collaborate closely with Data Owners to understand business data requirements and clarify terms and business rules.
- Facilitate walkthrough sessions with Data Owners and stakeholders to review and validate data models for accuracy.
- Demonstrate strong communication skills and effective engagement with delivery colleagues to ensure successful project outcomes.
- Comply with Data Architecture standards and guardrails.
- Proactively manage issues, risks, actions, and dependencies, escalating when necessary.

**Experience**:
Must have:

- Possess a minimum of 5+ years of Data Modelling experience in Data Lake/Delta Lakehouse/Data Warehouse on Spark based platforms on Azure/AWS/GCP.
- Demonstrate a minimum of 1 year of experience working with/in Databricks.
- Mandatory experience of Data Modelling on Delta Lakehouse
- Knowledge in handling Spark streaming data over Delta Lakehouse.
- Hands-on experience with data modelling tools for performing reverse and forward engineering of as-is and to-be data models, in any of the industry leading data modelling tools such as Erwin/ ER/Studio etc.
- Utilize visual notations for expressing data logical and physical models, state transitions, transformations, and versioning. Familiarity with UML, DPMN, ERDs, etc. is ideal.

Good to have:

- Knowledge of Databricks concepts like Apache Spark API, Delta, Delta Live, feature stores, DBR, job/interactive clusters, notebook management, Repos, MLFlow
- Knowledge of orchestration tools like Azure Data Factory, Airflow
- Experience in other cloud DWH like Snowflake, Big Query, and Amazon Redshift.
- Knowledge of in any Data Governance tool.
- Knowledge of Unity Catalog.
- Experience in DevOps and CI/CD.

**Key skills**:
Data Modeling, Spark, Cloud

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