Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark
Are you a highly skilled data engineer looking for a challenging and rewarding role in a dynamic and innovative company? Do you have a passion for designing and operationalizing data pipelines, working with complex datasets, and driving business growth through data-driven insights? If so, we invite you to join blithequark, a leading retail company that values its employees and offers a unique work environment that fosters growth and success.
About blithequark
blithequark is a global retail company that operates on a people-first philosophy, prioritizing employee satisfaction and well-being. As one of the world's largest retailers, we strive to create a work environment that is inclusive, diverse, and supportive. Our commitment to excellence has earned us a spot on Forbes' list of the "World's Best Bosses," and we're proud to offer a range of benefits and perks that make us a top choice for job seekers.
Job Summary
We're seeking an experienced Full Stack Data Engineer to join our team at blithequark. As a key member of our data engineering team, you will be responsible for designing and operationalizing data pipelines, working with complex datasets, and driving business growth through data-driven insights. You will collaborate with cross-functional teams, including data architects, data scientists, and business stakeholders, to develop and implement data solutions that meet business needs.
Key Responsibilities
* Design and operationalize data pipelines to make data accessible for business use (BI, advanced analytics, services)
- Work closely with data architects and data scientists to plan and maintain flexible data models and pipelines
- Develop and maintain ideal data pipeline design
- Identify, plan, and implement internal cycle improvements: automating manual processes, streamlining data delivery
- Carry out large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization
- Uphold advancement of Data Dictionaries and Data Scientific categorization for product solutions
- Demonstrate strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.)
- Assemble data models with Data Modeler and create data pipelines to store data in defined data models and designs
- Demonstrate strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database design
- Recognize ways to improve data reliability, efficiency, and quality of data management
- Lead ad-hoc data recovery for business reports and dashboards
- Review the integrity of data from various sources
- Oversee database design including introducing and updating software, and maintaining significant documentation
- Monitor database movement and resource utilization
- Perform peer review for another Data Engineer's work
- Create and operationalize data pipelines to make data accessible for use (BI, advanced analytics, services)
- Work closely with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization
Requirements
* 3+ years' experience designing and operationalizing data pipelines with large and complex datasets
- 3+ years' hands-on experience with Informatica PowerCenter
- 3+ years' experience in Data Modeling, ETL, and Data Warehousing
- 3+ years' hands-on experience with Informatica IICS
- 3+ years' experience working with Cloud technologies, such as ADLS, blithequark Data Factory, blithequark Databricks, Databricks Live Table, Flash, blithequark Neural Network, Universe DB, and other big data technologies
- Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
- High-level SQL skills. Strong understanding of social databases and business intelligence; ability to write complex SQL queries against various data sources
- Strong understanding of database management concepts (data lake, social databases, NoSQL, Chart, data warehousing)
- Willingness to work in a high-speed agile development environment
- Scheduling flexibility to address business needs including weekends, holidays, and on-call responsibilities on a rotational basis
Preferred Qualifications
* BA/BS in Computer Science, Engineering, or equivalent programming/services experience
- blithequark Certifications
- Experience executing data integration strategies, such as event/message-based integration (Kafka, blithequark Event Center), ETL
- Experience with Git/blithequark DevOps
- Experience delivering data solutions through agile software development processes
- Openness to the retail industry
- Excellent verbal and written communication skills
- Experience working with SAP integration tools including Bodies
- Experience with UC4 Job Scheduler
What We Offer
* Competitive salary: $26/hour
- Comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) matching program
- Generous paid time off and holidays
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and experienced data engineer looking for a new challenge, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply Now! Apply for this job