Introduction to blithequark
At blithequark, we are revolutionizing the way data is utilized to drive business decisions. As a leader in the retail industry, we recognize the importance of leveraging data analytics to stay ahead of the curve. Our IT department is responsible for the technical future of blithequark, and we are committed to providing a family-oriented, employee-driven environment where our team members can thrive and succeed. With our global expansion and commitment to excellence, we have been ranked seventh in Forbes' "World's Best Employers" list.
Job Overview
We are seeking an experienced Data Engineer - Data Analytics to join our team at blithequark. As a Data Engineer, you will be responsible for developing and operationalizing data pipelines to make data available for consumption (reports and advanced analysis). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, coordination, and engaging with DevOps Engineers during CI/CD. The ideal candidate will have a strong foundation in programming and SQL, as well as expertise in data storage, modeling, cloud, data warehousing, and data lakes.
Key Responsibilities
- Design, build, and maintain optimal data pipeline architecture
- Collaborate with Data Architects, Data Scientists, and BI Architects to design and maintain scalable data models and pipelines
- Develop and operationalize data pipelines to make data available for consumption (BI, advanced analysis, services)
- Work closely with product owners, engineering, and data platform teams to design, build, test, and automate data pipelines
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
- Implement big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization
- Support the development of Data Dictionaries and Data Taxonomy for product offerings
- Demonstrate strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.)
- Build data models with Data Modeler and develop data pipelines to store data in defined data models and formats
- Demonstrate strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database architecture
- Identify ways to improve data reliability, efficiency, and quality of data management
- Lead ad-hoc data retrieval for business reports and dashboards
- Review the integrity of data from various sources
- Manage database design, including installing and upgrading software, and maintaining significant documentation
- Monitor database activity and resource utilization
- Perform peer review for another Data Engineer's work
Essential Qualifications
- 3+ years of experience designing and operationalizing data pipelines with large and complex datasets
- 3+ years of hands-on experience with Informatica PowerCenter
- 3+ years of experience in Data Modeling, ETL, and Data Warehousing
- 3+ years of hands-on experience with Informatica IICS
- 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Spark, Azure Synapse, Cosmos DB, and other big data technologies
- Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
- Advanced SQL skills. Strong understanding of relational databases and business data; ability to write complex SQL queries against multiple data sources
- Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing)
- Able to work in a high-speed agile development environment
- Scheduling flexibility to meet the needs of the business, including weekends, holidays, and 24/7 on-call duties on a rotational basis
Preferred Qualifications
- BA/BS in Computer Science, Engineering, or equivalent programming/services experience
- Azure Certifications
- Experience implementing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub), ETL
- Experience with Git/Azure DevOps
- Experience delivering data solutions through agile software development methodologies
- Familiarity with the retail industry
- Excellent verbal and written communication skills
- Experience working with SAP integration tools, including Bodies
- Experience with UC4 Job Scheduler
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to providing our employees with opportunities for growth and development. As a Data Engineer, you will have the chance to work on complex and challenging projects, collaborating with cross-functional teams to drive business results. You will also have access to training and development programs, including mentorship, coaching, and education assistance, to help you advance your career.
Work Environment and Company Culture
Our work environment is dynamic, fast-paced, and collaborative. We value innovation, creativity, and teamwork, and we recognize the importance of work-life balance. At blithequark, you will be part of a diverse and inclusive team, with opportunities to participate in company-sponsored events, volunteer programs, and social activities.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off. You will also have access to a range of perks, including flexible working hours, remote work options, and a comprehensive employee recognition program.
Conclusion
If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. With our commitment to innovation, customer satisfaction, and employee development, we are confident that you will find a rewarding and fulfilling career with our team. Apply now to join our dynamic and growing organization and take your career to the next level!
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