Data Engineer

6 years

12 - 14 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a Senior Data Engineer to join an on-site engineering team in Goregaon, Mumbai. This role is ideal for hands-on engineers who design, build, and operate scalable, production-grade data pipelines and analytical platforms that serve machine learning, BI, and real-time streaming use cases.

Role & Responsibilities

  • Translate functional and non-functional requirements into effective designs and development specifications.
  • Responsible for transforming Data into - > Information -> Knowledge - > Business Decisions
  • Delivers data warehouse, data mart and dimensional models for Analytics Centre of Excellence.
  • Responsible for streamlining dataflow pipelines across various programs and products.
  • Responsible for identifying trends and patterns in data leading to increased effectiveness of digital programs.
  • Responsible for Data related documentation and visual communications.
  • Design, develop, and support Snowflake services and warehouse.
  • Document data processes, pipelines, and data model designs.
  • Support and troubleshoot data pipeline issues and performance bottlenecks.

Required Qualifications: (Education, Technical Skills/Knowledge):

  • 4–6 years of experience in data engineering or related field.
  • Strong SQL skills and experience working with large, complex datasets.
  • Hands-on experience with Snowflake, including Snowflake SQL, SnowSight, and Snowpipes.
  • Good understanding of data warehousing concepts and dimensional modeling (e.g., using Kimball methodology).
  • Experience building and maintaining ETL/ELT data pipelines using tools like Azure Data Factory or similar.
  • Familiarity with cloud data platforms and services (Azure, AWS, or GCP).
  • Exposure to data lake storage and medallion architecture principles (bronze, silver, gold layers).
  • Basic understanding of data quality, governance, and version control.

Personal Characteristics And Attributes

  • Solid English written and verbal communication skills.
  • Able to engage other leaders to understand strategy, articulate options, evaluate trade-offs and influence key decisions.
  • Strong analytical and complex problem-solving skills.
  • Inquisitive nature & self-starter who can implement with minimal guidance.
  • Ability to communicate complex information to technical and non-technical stakeholders.
  • Strong desire in learning new technologies and methodologies.

Mandatory skills :

SQLSnowflake, Snowflake SQL, SnowSight, Snowpipes, Data warehousing, Dimensional modeling, Kimball methodology, ETL/ELT, Azure Data Factory, Cloud data platforms, Data lake storage, Medallion architecture.Skills: sqlsnowflake,data engineering,snowflake,snowsight,azure

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