Introduction to Blithequark
Blithequark is a leading global retailer with operations in fourteen countries, committed to providing a family-oriented, employee-driven environment where our team members thrive and succeed. As one of the world's best employers, according to Forbes, we continue to offer a unique blend of professional growth opportunities and a supportive work culture. Our IT department is responsible for shaping the technical future of Blithequark, and we are now seeking an experienced Data Engineer - Data Analytics to join our team.
Job Overview
As a Data Engineer - Data Analytics at Blithequark, you will be responsible for designing and operationalizing data pipelines to make data available for consumption, including reports and advanced analytics. This role requires a strong foundation in programming and SQL, as well as expertise in data storage, modeling, cloud, data warehousing, and data lakes. You will work closely with Data Architects, Data Scientists, and BI Architects to design and maintain scalable data models and pipelines.
Key Responsibilities
- Develop and operationalize data pipelines to power analytics and data services, collaborating with product owners, engineering, and data platform teams to design, build, test, and automate data pipelines.
- Communicate technical concepts to non-technical audiences, both in written and verbal form, and gather large, complex datasets to meet business requirements.
- Work closely with Data Architects to align on data engineering requirements and create and maintain optimal data pipeline architecture.
- Identify, design, and implement internal process improvements, such as automating manual processes and 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 and demonstrate a strong understanding of coding and programming concepts to build data pipelines.
- Collaborate with Data Modelers to create data models and develop data pipelines to store data in defined data models and formats.
- Demonstrate a strong understanding of data integration methods and tools, such as Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT), and database architecture.
- Identify ways to improve data reliability, efficiency, and quality of data management and lead ad-hoc data retrieval for business reports and dashboards.
- Review the integrity of data from various sources and manage database design, including installing and updating software, and maintaining significant documentation.
- Monitor database activity and resource utilization, perform peer review for another Data Engineer's work, and create and operationalize data pipelines to make data available for consumption.
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 and Informatica IICS.
- 3+ years of experience in Data Modeling, ETL, and Data Warehousing.
- 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Spark, Azure Synapse, and other big data technologies.
- Broad experience working with various data sources, including SQL, Oracle database, flat files (csv, delimited), Web API, and XML.
- Advanced SQL skills and a strong understanding of relational databases and business data, with the ability to write complex SQL queries against multiple data sources.
- A strong understanding of database storage concepts, including data lake, relational databases, NoSQL, Graph, and data warehousing.
- Ability to work in a high-speed agile development environment and willingness to work flexible hours, 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 team members with opportunities for professional growth and development. As a Data Engineer - Data Analytics, you will have the chance to work on complex and challenging projects, collaborating with experienced professionals in the field. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you enhance your skills and stay up-to-date with the latest technologies and trends in the industry.
Work Environment and Company Culture
Blithequark offers a dynamic and supportive work environment, with a strong focus on teamwork, innovation, and customer satisfaction. Our company culture values diversity, inclusion, and employee well-being, and we strive to create a positive and productive work environment that allows our team members to thrive. We also offer a range of benefits, including flexible working hours, remote work options, and a comprehensive compensation package.
Compensation, Perks, and Benefits
Blithequark offers a competitive compensation package, including a salary range of $26 per hour, as well as a range of benefits, including health insurance, retirement plans, and paid time off. We also offer a range of perks, including flexible working hours, remote work options, and access to training and development programs.
Conclusion
If you are a motivated and experienced Data Engineer - Data Analytics looking for a new challenge, we encourage you to apply for this exciting opportunity to join Blithequark's innovative data solutions team. With a strong focus on professional growth, learning, and development, we offer a dynamic and supportive work environment that allows our team members to thrive. Apply now to take your career to the next level and be part of one of the world's best companies to work for.
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