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Data Engineer / Data Modeler_7+Years

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Onsite

Data Engineer / Data Modeler_7+Years

Sketch Lighting

Data Engineer / Data Modeler_7+Years

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonSnowflakedbt

2 months ago

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Important information


Contract type:

Permanent

Location:

Faridabad, Haryana, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Job Summary

We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques.

Key Responsibilities

  • Design and implement scalable data models using Snowflake and Erwin Data Modeler.
  • Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow).
  • Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models.
  • Develop efficient SQL queries and stored procedures for data transformation, quality, and validation.
  • Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models.
  • Ensure performance tuning, security, and optimization of the Snowflake data warehouse.
  • Document metadata, data lineage, and business logic behind data structures and flows.
  • Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance.

Must-Have Skills

  • Snowflake architecture, schema design, and data warehouse experience.
  • DBT (Data Build Tool) for data transformation and pipeline development.
  • Strong expertise in SQL (query optimization, complex joins, window functions, etc.).
  • Hands-on experience with Erwin Data Modeler (logical and physical modeling).
  • Experience with GCP (BigQuery, Cloud Composer, Cloud Storage).
  • Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver.

Good To Have

  • Experience with CI/CD tools and DevOps for data environments.
  • Familiarity with data governance, security, and privacy practices.
  • Exposure to Agile methodologies and working in distributed teams.
  • Knowledge of Python for data engineering tasks and orchestration scripts.

Soft Skills

  • Excellent problem-solving and analytical skills.
  • Strong communication and stakeholder management.
  • Self-driven with the ability to work independently in a remote setup.

Skills: gcp,erwin,dbt,sql,data modeling,dbeaver,bigquery,query optimization,dataflow,cloud storage,snowflake,erwin data modeler,data pipelines,data transformation,datamodeler

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