Data Modeler

HCL Technologies Limited; Bengaluru; Presencial; INR 1.400.000 - 2.100.000; Jornada completa

Descripción de la vacante

HCL Technologies Limited in Bengaluru seeks a seasoned Data Modelling specialist to design robust data models, optimize SQL workflows, and leverage Snowflake/AWS cloud lakehouses for financial services clients.

You will work with Erwin, dbt, and Git to implement scalable analytics solutions, with a focus on Kimball dimensional modelling and modern analytics engineering concepts.

Formación

• 2–5 years of experience in data modelling, with a solid understanding of relational databases and Kimball dimensional modelling (Stars and Snowflakes).
• Advanced SQL skills with the ability to read, optimize, and reverse-engineer complex legacy queries.
• Hands-on experience or strong working knowledge of cloud platforms like Snowflake or AWS S3/Lakehouses. Knowledge of Apache Iceberg is a strong plus.
• Prior experience in banking, wealth management, or financial services is desirable.
• Experience using data modelling tools (Erwin, Hackolade, or dbt) and version control systems (Git).
• A proactive attitude and desire to grow skills across modern analytics engineering, data contracts, and data streaming (Kafka).

Conocimientos

Data Modelling

Erwin

Data Modeler

Herramientas

dbt

Git

Hackolade

Snowflake

AWS S3

Apache Iceberg

Descripción del empleo

Key skills: Data Modelling, Erwin, Data Modeler

Experience: 10+ years

Notice Period: 0-30 Days

JD:

• Core Data Modelling: 2–5 years of experience in data modelling, with a solid understanding of relational databases and Kimball dimensional modelling (Stars and Snowflakes).
• Strong SQL: Advanced SQL skills with the ability to read, optimize, and reverse-engineer complex legacy queries.
• Modern Cloud Exposure: Hands-on experience or strong working knowledge of cloud platforms like Snowflake or AWS S3/Lakehouses. Knowledge of Apache Iceberg is a strong plus.
• Financial Services Exposure: Prior experience in banking, wealth management, or financial services is desirable.
• Tooling Familiarity: Experience using data modelling tools (e.g., Erwin, Hackolade, or dbt) and version control systems (Git).

Eagerness to Learn: A proactive attitude and desire to grow your skills across modern analytics engineering, data contracts, and data streaming (Kafka)/