sr data engineer it customer data and marketing in katy, Texas, United States

Job Information

sr data engineer it customer data and marketing.

job details

summary

job details

job summary:

6+ years of solid experience in Data Engineering, Application Integrations, and Integrating with Cloud Data Platforms
6+ years of Experience developing Data Engineering solutions using various design patterns such as Batch and Streaming ETL, Integrating with Message Queues & Topics, Developing Producers and Consumers, and Integrating with APIs
Any CDP experience such as Treasure data, ActionIQ, Bloomreach, Tealium, Segment, Adobe, or similar composable/hybrid implementation experience
Experience in designing solutions geared toward targeted customer interaction and a general understanding of a wide variety of marketing data/technology platforms including Content management platforms, personalization platforms, CRM platforms, Experience management software, Email marketing tools, E-commerce, Mobile tracking software (preferred but not required)
Understanding of data privacy regulations
At least 4+ years of Experience in SQL, Java/Python programming, and shell scripting
Any Workflow scheduler experience; UC4 preferred.
knowledge of distributed data processing frameworks such as Kafka is preferred.
Experience working in a Datawarehouse environment as well as knowledge of Datawarehouse Modelling concepts is required.

location: Katy, Texas

job type: Permanent

salary: $135,000 - 140,000 per year

work hours: 8am to 5pm

education: Bachelors

responsibilities:

Provide Customer data platform solutions and build pipelines for data Ingestion, identity resolution, and Integrations with activation/personalization platforms and Data warehouse.
Identify data needs from broad partners and develop an efficient and scalable data solution to enable Activations, personalization, and Analytics at scale.
Data Engineering responsibilities for designing and building data pipelines using technology stacks such as Kafka, Kafka Producers and Consumers, SQL, and Java/python.
Contribute to establishing and growing Data Engineering designs, best practices, and standards for the enterprise.
Partner with Business Analysts and Application developers across various functional areas within the enterprise such as customer Marketing, Customer Analytics, Store Systems, Merchandising, Digital, etc. to design and deliver scalable data engineering solutions.
Participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications!
Provide expertise and recommend solutions to complex data engineering requirements and technical issues.
Evaluate and recommend emerging technologies and options for data engineering and data management.
Act as a Data Engineering Technology Subject Matter Expert by proactively acquiring knowledge as it relates to technology changes and advancements, conducting POCs, develop prototypes and reusable frameworks.

qualifications:

skills:

Data Warehouse
Data Warehouse
SQL
Kafka
Data Modelling
Shell scripts
MarketingEqual 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 HRsupport@randstadusa.com.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 health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.

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