Experienced Data Engineer - Data Analytics and Pipeline Development Specialist for Innovative Data Solutions at blithequark

Introduction to blithequark

At blithequark, we are passionate about harnessing the power of data to drive business success. As a leading retailer with operations in fourteen countries, we recognize the importance of leveraging data analytics to inform our decisions and stay ahead of the competition. Our IT team is responsible for shaping the technical future of blithequark, and we are committed to providing a family-friendly, employee-driven environment where our team members can thrive and succeed. With a strong focus on innovation and customer satisfaction, we are seeking a talented Data Engineer to join our team and contribute to the development of our data analytics capabilities.

Job Overview

The Data Engineer - Data Analytics will play a critical role in designing and operationalizing data pipelines to make data available for consumption. This will involve working closely with cross-functional teams, including Data Architects, Data Scientists, and BI Architects, to design and maintain scalable data models and pipelines. The successful 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 and develop data pipelines to support business intelligence and advanced analytics
• Collaborate with Data Architects to align on data engineering requirements
• Create and maintain optimal data pipeline architecture
• Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery
• Implement big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights
• Support the development of Data Dictionaries and Data Taxonomy for product offerings
• Demonstrate strong understanding of coding and programming concepts to build data pipelines
• 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, including Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) and database design
• 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

Requirements

To be successful in this role, you will need to have:

• 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, 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 strong understanding of relational databases and business data
• Ability to work in a high-speed agile development environment
• Flexibility to work on a rotational basis, including weekends, holidays, and 24/7 on-call duties

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)
• 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 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, collaborate with experienced professionals, and develop your skills in a dynamic and supportive environment. We offer a range of training and development programs, including mentorship, coaching, and formal education opportunities, to help you achieve your career goals.

Work Environment and Company Culture

Our company culture is built on a foundation of respect, integrity, and teamwork. We believe in fostering a positive and inclusive work environment, where everyone feels valued and supported. Our employees are passionate about their work and are committed to delivering exceptional results. We offer a range of benefits, including flexible working hours, remote work options, and a comprehensive rewards package, to help you achieve a better work-life balance.

Compensation and Benefits

We offer a competitive salary and benefits package, including:

• Salary: $26/hour
• Comprehensive health and dental insurance
• 401(k) retirement plan with company match
• Flexible working hours and remote work options
• Opportunities for career growth and development
• Comprehensive rewards package, including bonuses and incentives

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, we are committed to providing our employees with a supportive and dynamic work environment, opportunities for growth and development, and a comprehensive rewards package. Join our team and contribute to the development of our data analytics capabilities. Apply now and take the first step towards a rewarding and challenging career with blithequark.

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