Data Engineer

V2SOLUTIONS; Bengaluru, Navi Mumbai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

V2SOLUTIONS in Bengaluru is seeking a Data Engineer with hands-on Snowflake, AWS, and Databricks or Microsoft Fabric to build scalable data platforms and pipelines. You will work closely with analytics, product, and engineering teams to deliver reliable, high-performance data solutions.

You will design and maintain ETL/ELT pipelines, optimize data workflows, and implement data models to support analytics and reporting while ensuring data quality, security, and CI/CD practices across large

Qualifications

• 36 years of experience in Data Engineering.
• Hands-on Snowflake experience: Data Warehousing, Snowpipe, Streams & Tasks, performance tuning, data sharing, security & access management.
• Strong AWS experience: S3, Glue, Lambda, Redshift, Step Functions.
• Experience with Databricks (Spark, Delta Lake) or Microsoft Fabric (Data Factory, Lakehouse, Synapse).
• Proficiency in Python and SQL.
• Experience with PySpark / Apache Spark.
• Knowledge of data warehousing, dimensional modeling, and data modeling concepts.
• Experience designing and optimizing cloud-based data warehouse solutions.
• Familiarity with orchestration tools such as Airflow or AWS Step Functions.
• Experience working with large datasets and distributed systems.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on cloud platforms.
• Build and optimize data workflows using Snowflake, AWS services, and/or Databricks / Microsoft Fabric.
• Design and implement efficient data models and data warehouse solutions in Snowflake.
• Develop data ingestion frameworks for batch and real-time processing.
• Work with large-scale structured and unstructured datasets.
• Ensure high data quality, reliability, and performance.
• Collaborate with cross-functional teams to gather and translate business requirements.
• Implement data models to support analytics and reporting.
• Monitor, troubleshoot, and optimize data pipelines and Snowflake workloads.
• Follow best practices for version control, testing, and CI/CD.

Skills

Snowflake

AWS

Databricks

Microsoft Fabric

Python

SQL

PySpark

Apache Spark

Data warehousing concepts

Dimensional modeling

Data modeling concepts

Data ingestion pipelines

Airflow

AWS Step Functions

Tools

Airflow

AWS Step Functions

Snowflake

Databricks

Microsoft Fabric

Job description

Role Overview

We are seeking a skilled Data Engineer with hands-on experience in Snowflake, AWS, and Databricks or Microsoft Fabric to build and maintain scalable data platforms and data pipelines. You will work closely with analytics, product, and engineering teams to deliver reliable, high-performance, and scalable data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on cloud platforms.
• Build and optimize data workflows using Snowflake, AWS services, and/or Databricks / Microsoft Fabric.
• Design and implement efficient data models and data warehouse solutions in Snowflake.
• Develop data ingestion frameworks for batch and real-time processing.
• Work with large-scale structured and unstructured datasets.
• Ensure high data quality, reliability, and performance.
• Collaborate with cross-functional teams to gather and translate business requirements.
• Implement data models to support analytics and reporting.
• Monitor, troubleshoot, and optimize data pipelines and Snowflake workloads.
• Follow best practices for version control, testing, and CI/CD.

Required Skills & Qualifications

• 36 years of experience in Data Engineering.
• Strong hands-on experience with Snowflake including:
• Data Warehousing
• Snowpipe
• Streams & Tasks
• Performance Tuning
• Data Sharing
• Security & Access Management
• Strong hands-on experience with AWS (S3, Glue, Lambda, Redshift, Step Functions).
• Experience with Databricks (Spark, Delta Lake) or Microsoft Fabric (Data Factory, Lakehouse, Synapse).
• Proficiency in Python and SQL.
• Experience with PySpark / Apache Spark.
• Solid understanding of data warehousing, dimensional modeling, and data modeling concepts.
• Experience designing and optimizing cloud-based data warehouse solutions.
• Familiarity with orchestration tools such as Airflow or AWS Step Functions.
• Experience working with large datasets and distributed systems.