Senior Data Engineer Marketing Data Platform

Job Description

THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER . Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader. Key Responsibilities: Design and maintain robust and scalable data pipeline architecture . Assemble complex data sets that meet both functional and non-functional requirements. Implement internal process improvements, such as automation of manual tasks, optimization of data delivery, and re-designing infrastructure for scale. Build infrastructure to support efficient data extraction, transformation, and loading (ETL) using SQL, dbt , and AWS Big Data technologies . Develop analytics tools to provide actionable insights on employee experience , operational efficiency , and other business performance metrics . Collaborate with stakeholders to resolve data-related issues and support infrastructure needs. Create and manage processes for data transformation, metadata management , and workload orchestration . Stay up to date with emerging cloud technologies (AWS/Azure) and propose opportunities for integration. Partner with Data Scientists and Analysts to enhance data systems and ensure maximum usability. Minimum Qualifications: Bachelor's or Graduate degree in Computer Science , Information Systems , Statistics , or related quantitative field. 5+ years of experience in a Data Engineering role. Extensive hands-on experience with Snowflake and dbt (including advanced concepts like macros and Jinja templating). Proficient in SQL and familiar with various relational databases. Experience in Python and big data frameworks like PySpark . Hands-on experience with AWS services such as S3 , EC2 , Glue , Lambda , RDS , and Redshift . Experience working with APIs for data ingestion and integration. Proven track record in optimizing data pipelines and solving performance issues. Strong analytical and problem-solving skills, with experience conducting root cause analysis . Preferred Qualifications: Experience with AWS CloudFormation templates . Familiarity with Agile/SCRUM methodologies. Exposure to Power BI for dashboard development. Experience working with unstructured datasets and deriving business value from them. Previous experience with globally distributed teams in agile environments. Primary Skills (Must-have): Data Engineering-Data Quality-Data Analysis