Data Engineer – Snowflake & AWS/Azure

Computer Task Group, Inc•Dallas, TX

2d•Onsite

About The Position

CTG is seeking to fill a Data Engineer – Snowflake & AWS/Azure position for our client. This role involves designing, developing, and implementing scalable enterprise data management and analytics solutions. The Data Engineer will be responsible for developing and optimizing ETL/ELT pipelines using Snowflake and cloud-based technologies, as well as designing, building, and maintaining data warehouses and data integration solutions. The position requires working with large-scale data processing technologies, developing efficient data solutions using Python and SQL, and optimizing data pipelines, queries, data models, and warehouse performance. The role also includes integrating data from various sources, implementing data security and governance best practices, troubleshooting issues, and collaborating with various stakeholders.

Requirements

Strong experience with Snowflake and enterprise data warehousing.
Strong ETL/ELT development experience.
Hands-on experience with AWS and Azure cloud platforms.
Proficiency with big data technologies, including Spark, Hadoop, and PySpark.
Strong Python and SQL programming skills.
Experience with relational databases and data warehouse technologies, including Teradata and Snowflake.
Knowledge of data security, governance, quality, and compliance principles.
Strong understanding of scalable data and analytics architectures.
Excellent analytical, problem-solving, and troubleshooting skills.
Ability to design and integrate complex data solutions across multiple platforms.
Proven experience working as a Data Engineer in enterprise data environments.
Experience designing, developing, integrating, and managing large-scale data management systems.
Experience building and optimizing scalable data warehouses and ETL/ELT pipelines.
Experience working with cloud-based data platforms and services across AWS and Azure.
Experience integrating applications, software packages, and reusable data components across heterogeneous environments.
Experience supporting enterprise analytics and data solutions with an emphasis on performance, scalability, security, and reliability.
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or equivalent professional experience.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Responsibilities

Design, develop, and implement scalable enterprise data management and analytics solutions.
Develop and optimize ETL/ELT pipelines using Snowflake and cloud-based technologies.
Design, build, and maintain data warehouses and data integration solutions using platforms such as Snowflake and Teradata.
Develop complex data engineering components and integrate software packages, applications, programs, and reusable objects across various platforms.
Work with large-scale data processing technologies including Spark, Hadoop, and PySpark.
Develop efficient data solutions using Python and SQL.
Optimize data pipelines, queries, data models, and warehouse performance for enterprise-scale workloads.
Integrate data from multiple structured and unstructured sources into centralized analytics environments.
Implement data security, governance, quality, and compliance best practices.
Troubleshoot data integration and performance issues and identify opportunities to improve reliability and scalability.
Collaborate with data architects, analysts, developers, and business stakeholders to deliver effective data solutions.