Senior Data Engineer

• Enterprise Finance Technology's GWD Technology team is working on and implementing innovative solutions timprove forecasting processes and support operational excellence. This role will be responsible for working closely with the technical leads and Product Owners tdeliver support data, analytics and reporting functionalities in the GWD platform. This right candidate will be responsible for hands-on application development tsupport the current and target process across the SDLC - design, build, test, deploy support.

• Required Skills and Experience we are Looking For:
• Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and CUBE (Star Schema).
• Ability tdesign, lead and implement migration of legacy database tech tscalable, high-performance data platforms using technologies such as Airflow, Hadoop, Spark, Hive, Kafka, and Snowflake.
• Programming skills in languages like Scala/ Pyspark/SparkSQL.
• Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors tsupport enhancements and user requests.
• Experience working with large data sets (~100 million records) and optimizing performance for scalability.

• Expertise in developing and managing data pipelines for ingesting, processing, and analyzing large volumes of data from various sources.
• Ensure data integrity, security, and performance in modernized database environments.
• Collaborate with cross-functional teams talign with enterprise data strategy and understand business requirements.
• Communicate complex data concepts and architectural designs tboth technical and non-technical audiences.
• Provide technical guidance and support tdevelopment teams during the implementation of database changes.
• Stay current with industry trends and emerging technologies in both traditional databases and big data.

• Technical Expertise:
• Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and CUBE (Star Schema).
• Ability tdesign, lead and implement migration of legacy database tech tscalable, high-performance data platforms using technologies such as Airflow, Hadoop, Spark, Hive, Kafka, and Snowflake.
• Programming skills in languages like Scala/ Pyspark/SparkSQL.
• Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors tsupport enhancements and user requests.
• Experience working with large data sets (~100 million records) and optimizing performance for scalability.
• Expertise in developing and managing data pipelines for ingesting, processing, and analyzing large volumes of data from various sources.
• Ensure data integrity, security, and performance in modernized database environments.
• Collaborate with cross-functional teams talign with enterprise data strategy and understand business requirements.
• Communicate complex data concepts and architectural designs tboth technical and non-technical audiences.
• Provide technical guidance and support tdevelopment teams during the implementation of database changes.
• Stay current with industry trends and emerging technologies in both traditional databases and big data.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.