Experienced Data Engineer - Data Analytics and Pipeline Development Specialist for Innovative and Dynamic arenaflex Team

Introduction to arenaflex arenaflex 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, innovative technologies, and a collaborative work culture. Our IT department is responsible for shaping the technical future of arenaflex, and we are now seeking an experienced Data Engineer - Data Analytics to join our dynamic team. Job Overview As a Data Engineer - Data Analytics at arenaflex, 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 Data Architects, Data Scientists, and BI Architects to develop and maintain scalable data models and pipelines, ensuring that our data is accurate, reliable, and accessible to support business decision-making. Key Responsibilities Design, build, and deploy automated data pipelines from various internal and external data sources, using technologies such as Informatica PowerCenter and IICS. Collaborate with cross-functional teams, including product owners, engineering, and data platform groups, to design, build, test, and automate data pipelines that meet business requirements. Develop and maintain optimal data pipeline architecture, ensuring data quality, integrity, and security. Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery. Implement big data and NoSQL solutions, developing scalable data processing platforms to drive high-value insights for the organization. Support the development of Data Dictionaries and Data Taxonomy for product offerings. Demonstrate strong understanding of coding and programming concepts, building data pipelines, and data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)). Work with Data Modelers to develop data models and create data pipelines to store data in defined data models and formats. Monitor database performance and resource utilization, ensuring data reliability, efficiency, and quality. Essential Qualifications To be successful in this role, you should have: 3+ years of experience designing and operationalizing data pipelines with large and complex datasets. 3+ years of hands-on experience with Informatica PowerCenter and 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 strong understanding of relational databases and business data, with the ability to write complex SQL queries against various 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, with flexibility to address business needs, including weekends, holidays, and 24/7 on-call duties on a rotational basis. Preferred Qualifications While not required, the following qualifications are preferred: 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 arenaflex, we are committed to the growth and development of our team members. As a Data Engineer - Data Analytics, you will have access to: Professional training and development programs, including mentorship and coaching. Opportunities to work with cutting-edge technologies and innovative solutions. Cross-functional collaboration and knowledge sharing with other teams and departments. Recognition and rewards for outstanding performance and contributions. Work Environment and Company Culture arenaflex offers a unique and dynamic work environment that is collaborative, inclusive, and supportive. Our company culture is built on the values of: Employee-driven and family-oriented approach. Commitment to diversity, equity, and inclusion. Emphasis on innovation, creativity, and continuous learning. Recognition and rewards for outstanding performance and contributions. Compensation, Perks, and Benefits As a Data Engineer - Data Analytics at arenaflex, you can expect: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work arrangements, including remote work options. Access to cutting-edge technologies and innovative solutions. Recognition and rewards for outstanding performance and contributions. 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 at arenaflex. Join our dynamic team and contribute to the development of innovative data solutions that drive business success. Apply now and take the first step towards a rewarding and challenging career with arenaflex! Apply Job! Apply for this job