Experienced Data Engineer - Data Analytics and Pipeline Development Specialist for Blithequark's Innovative Data Solutions Team

Remote Full-time
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 data ingestion, transformation, validation, and quality control. You will work closely with our Data Architects, Data Scientists, and BI Architects to develop and maintain scalable data models and pipelines, ensuring that our data solutions meet the evolving needs of our business. Key Responsibilities Design, build, and deploy automated data pipelines from various internal and external data sources, using your expertise in data engineering and analytics. Collaborate with cross-functional teams, including product owners, engineering, and data platform groups, to design, build, test, and automate data pipelines that serve as the single source of truth across the organization. Develop and maintain optimal data pipeline architecture, identifying areas for improvement and implementing process enhancements to increase efficiency and data quality. Work with large, complex datasets to meet business requirements, applying your knowledge of data modeling, ETL, and data warehousing to drive high-value insights for the organization. Support the development of Data Dictionaries and Data Taxonomy for product offerings, ensuring that our data solutions are well-documented and easily accessible. Build strong relationships with stakeholders, communicating technical concepts to non-technical audiences and providing excellent verbal and written communication skills. Essential Qualifications To be successful in this role, you will need: 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. Advanced SQL skills and a strong understanding of relational databases and business data, with the ability to write complex SQL queries against various data sources. A Bachelor's degree in Computer Science, Engineering, or equivalent programming/services experience. Preferred Qualifications While not required, the following qualifications are preferred: 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. Experience working with SAP integration tools, including Bodies. Experience with UC4 Job Scheduler. Skills and Competencies To succeed in this role, you will need to demonstrate: Strong technical skills in data engineering, data analytics, and data warehousing. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Strong problem-solving skills, with the ability to analyze complex data issues and develop creative solutions. Ability to work in a fast-paced agile development environment, with flexibility to adapt to changing priorities and deadlines. Strong understanding of data storage concepts, including data lake, relational databases, NoSQL, Graph, and data warehousing. 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 access to: Training and development programs to enhance your technical skills and knowledge. Opportunities to work on complex and challenging projects, with the potential to make a significant impact on the organization. A collaborative and supportive work environment, with a team of experienced professionals who are passionate about data engineering and analytics. Flexible working arrangements, including remote work options and flexible hours. Work Environment and Company Culture At Blithequark, we pride ourselves on our unique company culture, which is built on a foundation of: Employee-driven values, with a focus on teamwork, innovation, and customer satisfaction. A supportive and inclusive work environment, with a commitment to diversity and equal opportunities. A culture of continuous learning and development, with opportunities for professional growth and advancement. A comprehensive benefits package, including competitive salary, health insurance, retirement savings, and paid time off. Compensation, Perks, and Benefits As a Data Engineer - Data Analytics at Blithequark, you can expect: A competitive salary, with opportunities for bonuses and merit-based increases. A comprehensive benefits package, including health insurance, retirement savings, and paid time off. Access to training and development programs, with opportunities to enhance your technical skills and knowledge. A flexible and supportive work environment, with a team of experienced professionals who are passionate about data engineering and analytics. Conclusion If you are a motivated and experienced data professional, with a passion for data engineering and analytics, we encourage you to apply for this exciting opportunity to join our team at Blithequark. As a Data Engineer - Data Analytics, you will have the opportunity to work on complex and challenging projects, with the potential to make a significant impact on the organization. With our commitment to employee development, flexible working arrangements, and comprehensive benefits package, we believe that Blithequark is the ideal place to build your career and achieve your professional goals. Apply for this job
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