Data Engineer

Blue Spire Inc; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Blue Spire Inc in Hyderabad, India, is looking for an experienced Data Engineer to design, build, and optimize scalable data platforms using Snowflake for global enterprises. You will develop ELT/ETL pipelines, data models, and cloud-native architectures across Banking, Financial Services, and Digital Transformation domains.

The role involves collaborating with Data Architects, BI Developers, and Data Scientists, focusing on data quality, governance, security, and CI/CD, and delivering

Qualifications

• 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 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.

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.

Skills

Snowflake

Advanced SQL

ETL/ELT development

Python

AWS

Azure

GCP

Data warehousing concepts

Git & CI/CD

Analytical troubleshooting

Snowflake Certification

Tools

Matillion

Informatica

Talend

ADF

dbt

Apache Airflow

Kafka

Spark

Databricks

Job description

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.