Senior Data Engineer
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Job description
We are looking for an experienced Senior Data Engineerto join our partner's team, contributing to the design, development, and optimization of scalable data solutions. You will work with modern data technologies to build and maintain reliable data pipelines, transform complex datasets, and support data analytics and visualization initiatives.
Contract type: B2B
Work model: Fully Remote
Key Responsibilities
Design, develop, and maintain ETL processes and data pipelines to support business and analytical requirements.
Develop and optimize complex SQL queries for data extraction, transformation, and processing.
Use Python to automate data workflows, implement data processing logic, and improve operational efficiency.
Work with Snowflake to manage, transform, and optimize data for analytical use cases.
Build and maintain scalable and reliable data integration solutions.
Ensure data quality, consistency, and integrity across data pipelines and processing workflows.
Support data visualization and reporting initiatives using Tableau and Highcharts.
Collaborate with data analysts, developers, and business stakeholders to deliver effective data solutions.
Troubleshoot data pipeline issues and optimize performance, scalability, and resource utilization.
Document data architectures, workflows, and technical implementations.
Requirements
Proven professional experience as a Senior Data Engineer or in a similar data engineering role.
Strong hands-on experience with ETL development and data pipeline management.
Advanced SQL skills, including query development and performance optimization.
Strong Python programming and scripting skills.
Experience with Snowflake and cloud-based data warehousing concepts.
Familiarity with data visualization tools such as Tableau and Highcharts.
Good understanding of data modeling, data integration, and data quality principles.
Strong analytical, problem-solving, and troubleshooting skills.
Good communication and collaboration skills.
Ability to work independently and effectively within a distributed team.
Originally posted on Himalayas
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