Data Engineer

Blue Spire Inc · India

Data Engineer – Snowflake

Experience: 7–10 Years

Location: Hyderabad (Work from Office)

About Blue Spire

At Blue Spire , we build scalable, cloud-native technology solutions for global enterprises across Banking, Financial Services, and Digital Transformation. We are looking for an experienced Data Engineer with strong hands-on expertise in Snowflake to design, develop, and optimize modern data platforms and data pipelines. The ideal candidate should have experience building scalable ELT/ETL solutions, implementing data models, and working with cloud technologies in an enterprise environment.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build robust ETL/ELT workflows to ingest, transform, and load data from multiple source systems.
• Develop and optimize Snowflake databases, schemas, tables, views, stored procedures, and tasks.
• Implement dimensional data models and support enterprise data warehouse initiatives.
• Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse optimization.
• Work with structured and semi-structured data (JSON, Parquet, Avro, etc.).
• Develop data quality checks, validation frameworks, and monitoring processes.
• Collaborate with Data Architects, BI Developers, Data Scientists, and business stakeholders to deliver high-quality data solutions.
• Implement security, governance, and access control following best practices.
• Participate in code reviews, CI/CD implementation, and production support.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake .
• Advanced SQL with expertise in query optimization and performance tuning.
• Experience in ETL/ELT development using tools such as Matillion, Informatica, Talend, ADF, dbt, or similar.
• Strong programming experience in Python.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data warehousing concepts, dimensional modeling, and data lake architecture.
• Experience working with Git and CI/CD pipelines.
• Strong analytical and troubleshooting skills.

Preferred Skills

• Experience with Apache Airflow or other workflow orchestration tools.
• Exposure to Kafka or other streaming technologies.
• Knowledge of Spark or Databricks.
• Experience working in Banking or Financial Services domains.
• Snowflake Certification is an added advantage.

Nice to Have

• Exposure to Snowpipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, and Snowpark.
• Experience with Terraform or Infrastructure as Code.
• Understanding of data governance, metadata management, and data security best practices.