Senior Data Engineer - Snowflake

Senior Data Engineer

Experience : 10- 12 Years

Location : Remote (India)

Notice Period : Immediate Joiners or Candidates Serving Notice Only

Role Overview

We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake and modern cloud-based data platforms. The ideal candidate should have extensive experience building scalable, production-grade data pipelines, handling complex enterprise datasets, and enabling AI and analytics solutions.

You will collaborate closely with Data Architects, AI Engineers, and Product teams to design robust data ecosystems that power intelligent applications.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines for batch and real-time processing.
• Build ingestion, transformation, and data serving layers for analytics and AI workloads.
• Develop robust ETL/ELT pipelines using modern cloud technologies.
• Work with enterprise data sources including SAP, Salesforce, ERP systems, APIs, flat files, and databases.
• Design dimensional models, Lakehouse architectures, and enterprise data warehouses.
• Implement data quality, governance, lineage, and monitoring frameworks.
• Optimize Snowflake performance, storage, and query execution.
• Collaborate with AI/ML teams to prepare reliable datasets for Machine Learning and Generative AI applications.
• Build reusable, scalable, and maintainable data engineering solutions.
• Work directly with client stakeholders to understand data requirements and resolve integration challenges.

Mandatory Technical Skills

Snowflake (Mandatory)

• Snowflake Architecture
• Performance Tuning
• Data Sharing
• Security & Governance
• Warehouses, Streams & Tasks

Data Engineering

• Databricks
• Apache Spark / PySpark
• Python
• SQL (Advanced)
• dbt

Cloud Platforms

Experience with either

• AWS
• S3
• Glue
• Lambda
• Redshift

OR

• Azure
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Azure Databricks
• Synapse Analytics

Data Technologies

• Delta Lake
• Lakehouse Architecture
• Medallion Architecture (Bronze / Silver / Gold)
• CDC & Incremental Data Loading
• API Integration
• Batch & Streaming Pipelines
• Airflow / Azure Data Factory
• Git & CI/CD
• Data Quality Frameworks (dbt Tests, Great Expectations)

Good to Have

• Vector Databases
• RAG Data Preparation
• AI/ML Data Pipelines
• Unity Catalog
• Data Contracts
• Micro-batch Processing

Required Experience

• 10- 12 years of hands-on experience in Data Engineering.
• Strong expertise in Snowflake implementation and optimization.
• Experience working with enterprise-scale datasets and heterogeneous data sources.
• Hands-on experience with Databricks and Apache Spark.
• Proven experience designing modern cloud-based data platforms.
• Strong understanding of data modeling, ETL/ELT, and distributed data processing.
• Experience working with client-facing teams and business stakeholders.
• Experience in Healthcare, Pharma, Manufacturing, or Financial Services is preferred.

Desired Soft Skills

• Excellent analytical and problem-solving abilities.
• Strong communication and stakeholder management skills.
• Self-driven with a high sense of ownership.
• Ability to work independently in a fast-paced environment.
• Strong collaboration and teamwork skills.
• Product mindset with a focus on business outcomes.
• Passion for Data Engineering, AI, and emerging technologies.