Sr. GCP Data Engineer

Talent Corner Hr Services; Mumbai; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Talent Corner Hr Services in Mumbai is seeking a Data Engineer (GCP) with 5+ years of experience to design, develop, and maintain scalable data models that support analytics, reporting, and data integration needs. The role requires onsite work and collaboration with data teams to translate business requirements into efficient data models.

The ideal candidate will work with data engineers and BI stakeholders to ensure data consistency, governance, and performance across data warehouses and

Qualifications

• Strong understanding of data modeling concepts (conceptual, logical, and physical models).
• Experience with relational databases and schema design.
• Proficiency in SQL for data analysis and validation.
• Experience with data modeling tools such as ERwin, ER/Studio, PowerDesigner.
• Knowledge of data warehousing concepts including star schema and snowflake schema.
• Understanding of ETL processes and data pipelines.
• Familiarity with data governance and data quality practices.
• Experience with cloud data platforms such as AWS, Azure, or GCP (Mandatory).
• Familiarity with big data ecosystems like Spark, Hive, or Snowflake.
• Knowledge of data lake and lakehouse architectures.
• Experience working with BI tools such as Power BI, Tableau, or Looker.

Responsibilities

• Design and maintain conceptual, logical, and physical data models for enterprise data systems.
• Analyze business requirements and translate them into data structures and relationships.
• Develop data models for data warehouses, data marts, and operational databases.
• Ensure data consistency, integrity, and governance across systems.
• Collaborate with data engineering and ETL teams to implement models in data pipelines.
• Optimize database structures for performance, scalability, and storage efficiency.
• Maintain data dictionaries, metadata, and documentation.
• Perform impact analysis for schema changes and system enhancements.
• Support data quality initiatives and enforce data modeling standards.
• Participate in data architecture discussions and contribute to best practices.

Skills

Data modeling concepts

Relational databases

SQL for data analysis

ETL processes

Data governance

Data quality

Cloud data platforms (GCP/AWS/AZ)

Big data ecosystems (Spark/Hive/Snow""

Tools

ERwin

ER/Studio

PowerDesigner

Power BI

Tableau

Looker

Spark

Hive

Snowflake

Job description

Job location : mumbai Kandivali

Exp: 7+ yrs

Onsite, Male candidates prefered

\"We are seeking a Data Engineer (GCP) with 5+ years of experience to design, develop, and maintain scalable data models that support analytics, reporting, and data integration needs. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to translate business requirements into efficient logical and physical data models.

Key Responsibilities

Design and maintain conceptual, logical, and physical data models for enterprise data systems.

Analyze business requirements and translate them into data structures and relationships.

Develop data models for data warehouses, data marts, and operational databases.

Ensure data consistency, integrity, and governance across systems.

Collaborate with data engineering and ETL teams to implement models in data pipelines.

Optimize database structures for performance, scalability, and storage efficiency.

Maintain data dictionaries, metadata, and documentation.

Perform impact analysis for schema changes and system enhancements.

Support data quality initiatives and enforce data modeling standards.

Participate in data architecture discussions and contribute to best practices.

Required Skills

Strong understanding of data modeling concepts (conceptual, logical, and physical models).

Experience with relational databases and schema design.

Proficiency in SQL for data analysis and validation.

Experience with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or similar.

Knowledge of data warehousing concepts including star schema and snowflake schema.

Understanding of ETL processes and data pipelines.

Familiarity with data governance and data quality practices.

Preferred Skills

Experience with cloud data platforms such as AWS, Azure, or GCP (Mandatory).

Familiarity with big data ecosystems like Spark, Hive, or Snowflake.

Knowledge of data lake and lakehouse architectures.

Experience working with BI tools such as Power BI, Tableau, or Looker.\"