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Project Description:
Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Team is responsible for managing a secure, scalable, and highly available cloud platform built on AWS, Azure, and Snowflake. Our mission is to deliver a strategic Common Data and Reporting solution for clients, members, and regulators by consolidating multiple data sources into a centralized reporting data store.
This role offers the opportunity to work on cutting-edge cloud technologies and contribute to building a platform that transforms how data is leveraged across the business.
Responsibilities:
• Design, build, and optimize scalable data pipelines using Python, SQL, DBT, and Apache Airflow
• Develop and manage DBT models and ensure reliable workflow orchestration in Airflow
• Monitor and maintain Snowflake platform performance, availability, and cost efficiency
• Troubleshoot and resolve issues across data ingestion, transformation, and pipelines
• Implement and maintain end-to-end data quality testing and validation frameworks
• Automate deployments and workflows using GitLab CI/CD and support release processes
• Provide support to users and collaborate with teams on Snowflake, Airflow, and data solutions
• Document architecture and best practices while contributing to technical design, mentoring, and continuous improvement
Mandatory Skills Description:
• 7+ years of proven experience as a Senior Data Engineer
• Hands-on experience with Snowflake (preferred) or Databricks/Oracle
• Solid experience with DBT (data modeling and transformation)
• Experience with cloud platforms – AWS (preferred) or Azure
• Strong SQL - advanced query writing and optimization skills
• Strong Python - experience in data processing and automation
• Basic CI/CD knowledge (GitLab or similar) - understanding of deployment pipelines
• Apache Airflow - workflow orchestration
Nice-to-Have Skills Description:
• Terraform - infrastructure as code
• Kafka - event streaming and messaging
Languages:
English: C1 Advanced
Job ID: 149091247
Skills:
snowflake , Apache Airflow, Python, Sql, AWS, dbt
Skills:
snowflake , Python Scripting, Data Modeling, Data Migration, Cloud Architecture, Data Warehousing, Informatica, Etl Development, Performance Tuning, SQL Optimization
Skills:
snowflake , Pyspark, Data Warehousing, Databricks, Data Modeling, Azure, Python, Sql, AWS, ELT, Etl
Skills:
and query tuning., and optimize Snowflake-based data warehouse solutions., • Develop and maintain modular DBT models (staging, and marts)., and Git-based workflows., and architecture teams to deliver reliable data solutions., Security & Performance Optimization ? DBT (Data Build Tool) ? Advanced SQL ? Data Modeling & Data Warehouse Architecture ? ETL / ELT Development ? Snowpipe, Streams & Tasks ? Git & CI/CD ? Unix/Linux Shell Scripting ? Control-M, Streams, Clustering, Autosys, Optimize Snowflake performance using Snowpipe, Tasks, Design, Develop, Intermediate, Build scalable ETL/ELT pipelines, Implement CI/CD pipelines, Analytics, Business, enterprise data models, including Star Schema, Snowflake Schema, and Fact/Dimension modeling, Snowflake Architecture, Airflow, or similar orchestration tools
Skills:
Azure Services, Sql, Azure Data Bricks, Azure Synapse Analytics, Devops, Apache Spark, Pyspark, Azure Functions, Api Integration, Data Governance, Python, Terraform, Git, Azure Data Lake, Data Modeling, Logic Apps, Airflow, Snowflake Data Warehouse Development, CI CD, Azure Data Factory ADF, Monitoring and observability frameworks, Performance tuning and optimization, Key Vault, DBT Data Build Tool
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