Data Engineer II

TEKsystems•Baltimore, MD

3d•$78,400 - $117,600•Hybrid

About The Position

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: We are seeking a highly skilled and talented Intermediate level Data Engineer with strong hands-on proficiency in GCP to develop and maintain modern, scalable data platforms. The ideal candidate should be a good team player with 3-5 years of experience in data engineering developing scalable and efficient ETL pipelines processing different formats of data (structured, semi-structured and unstructured) with deep hands-on expertise in Snowflake and Matillion and preferably some recent experience with Snowflake Cortex AI or Matillion Maia. This role requires curiosity, ability to thrive in a fast and evolving environment, effective communication, and deep expertise in developing, and deploying scalable, and high-performance cloud-native data solutions, under the guidance of architects, and team leaders.

Requirements

Bachelor’s degree in computer science, Engineering, or related field.
3-5 years of experience in Data Engineering, with at least 2 years in Matillion and Snowflake
Strong hands-on expertise in Matillion
Proficiency in Python / PySpark, and SQL.
Strong hands-on experience building data pipelines
Experience working with different data sources (structured, semi-structured, and unstructured)
Curious and growth mindset, detail oriented, strong problem-solving, and excellent verbal and written communication skills
Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

Nice To Haves

Matillion data engineering certifications such as: Matillion ETL Foundations Certification, Matillion Data Productivity Cloud Foundations Certification
Snowflake certifications such as: SnowPro Core Certification, SnowPro Advanced: Data Engineer
Good Understanding of data modelling (Star/Snowflake) and performance tuning

Responsibilities

Under the guidance from architect/lead, actively involves in requirement gathering from customers, ideating, and implementing the technical solutions
Collaborates closely with architects/leads and other stakeholders to identify the appropriate tools/technologies and implement the data management solutions
Develop scalable data ingestion, transformation, and orchestration pipelines following modern principles and industry best practices for data lake or data warehouse / analytics solutions in an on-prem or cloud native architecture
Builds all data management/analytics solutions following applicable Info-sec, quality control, and governance/maintenance standard
Complies with all internal and external (project specific) operational, compliance and governance processes.
Implement CI/CD pipelines for data and analytics workloads