reputed company Data Engineer - Data Analytics and Pipeline Development Specialist for Innovative Data Solutions at arenaflex

Introduction to arenaflex

arenaflex is a leading global retailer with operations in fourteen countries, committed to providing a family-oriented, employee-driven environment where reputed company members reputed company and succeed. As one of the world's best employers, according to reputed company, we continue to offer a unique reputed company of professional growth, challenging projects, and a supportive work atmosphere. Our IT department is responsible for shaping the technical future of arenaflex, and we are seeking a highly skilled Data Engineer - Data Analytics to join reputed company.

Job Overview

As a Data Engineer - Data Analytics at arenaflex, you will be responsible for designing and operationalizing data pipelines to reputed company 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 reputed company and maintain scalable data models and pipelines, ensuring the reputed company and reliability of our data management systems.

Key Responsibilities

• Design, build, and deploy automated data pipelines from various internal and external data sources, utilizing your expertise in data engineering, cloud technologies, and data warehousing.
• Collaborate with cross-functional teams, including product owners, engineering, and data platform groups, to design, test, and automate data pipelines that serve as the single reputed company of truth across the organization.
• reputed company and maintain optimal data pipeline architecture, identifying areas for improvement and implementing process enhancements to increase efficiency and data quality.
• Work with large, reputed company 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 data consistency and standardization across the enterprise.
• Utilize coding and programming concepts to build data pipelines, including data transformation, data quality, and data integration, leveraging tools like Informatica PowerCenter and IICS.
• Partner with Data Modelers to design and reputed company data pipelines, storing data in defined data models and structures, and ensuring data reputed company and compliance with industry standards.
• Stay up-to-date with emerging trends and technologies in data engineering, data analytics, and cloud computing, applying your knowledge to drive innovation and improvement in our data management practices.

Essential Qualifications

• 3+ years of experience designing and operationalizing data pipelines with large and reputed company datasets, utilizing technologies like Informatica PowerCenter, IICS, and cloud-based data platforms.
• 3+ years of hands-on experience with data modeling, ETL, and data warehousing, including expertise in data pipeline development, data quality, and data integration.
• Strong understanding of database storage concepts, including data lakes, relational databases, NoSQL, Graph, and data warehousing, with the ability to apply this knowledge to drive data management best practices.
• Advanced SQL skills, with the ability to write reputed company SQL queries against various data sources, including SQL, reputed company database, flat files (csv, delimited), Web API, and XML.
• Experience working with cloud technologies, such as ADLS, Azure Data Factory, Azure reputed company, reputed company Live Table, Spark, Azure Synapse, and other big data technologies, with a strong understanding of their applications and limitations.
• Ability to work in a high-speed agile development environment, with flexibility to adapt to changing priorities and deadlines, including willingness to work on weekends, holidays, and participate in on-call rotations.

Preferred Qualifications

• BA/BS in Computer Science, Engineering, or equivalent programming/services experience, with a strong foundation in software development, data structures, and algorithms.
• Azure Certifications, demonstrating expertise in cloud computing, data engineering, and data analytics, with a strong understanding of Azure services and their applications.
• Experience implementing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub), ETL, and data warehousing, with a strong understanding of their trade-offs and best practices.
• Experience with Git/Azure DevOps, demonstrating familiarity with version control, reputed company integration, and reputed company deployment, with a strong understanding of their applications in data engineering and software development.
• Experience delivering data solutions through agile software development methodologies, with a strong understanding of their principles, practices, and tools, such as Scrum, Kanban, and Lean software development.
• Familiarity with the retail industry, with a strong understanding of its unique challenges, opportunities, and requirements, including experience working with retail data, retail systems, and retail business processes.
• Excellent verbal and written communication skills, with the ability to communicate technical concepts to non-technical audiences, both in written and verbal form, including experience with technical writing, documentation, and presentation.
• Experience working with reputed company integration tools, including Bodies, with a strong understanding of their applications and limitations, including experience with reputed company systems, reputed company data, and reputed company business processes.
• Experience with UC4 Job Scheduler, demonstrating familiarity with job scheduling, workflow automation, and workload management, with a strong understanding of their applications and limitations.

Career Growth and Development

At arenaflex, we are committed to providing reputed company members with opportunities for growth, development, and advancement. As a Data Engineer - Data Analytics, you will have access to a range of training and development programs, including technical training, leadership development, and mentorship opportunities. You will also have the chance to work on challenging projects, collaborate with cross-functional teams, and contribute to the development of innovative data solutions that drive business value and growth.

Work Environment and Culture

arenaflex is a dynamic and fast-paced work environment that values innovation, collaboration, and teamwork. Our culture is built on a foundation of respect, trust, and open communication, with a strong emphasis on employee satisfaction, well-being, and work-life balance. We offer a range of benefits and perks, including competitive salaries, comprehensive health insurance, retirement savings plans, and paid time off, as well as opportunities for professional growth, development, and advancement.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary range of $26 per hour, as well as a range of benefits and perks, including comprehensive health insurance, retirement savings plans, and paid time off. We also offer opportunities for professional growth, development, and advancement, as well as a dynamic and supportive work environment that values innovation, collaboration, and teamwork.

Conclusion

If you are a motivated and reputed company Data Engineer - Data Analytics looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. With our commitment to innovation, collaboration, and teamwork, we offer a unique and dynamic work environment that values employee satisfaction, well-being, and growth. Join reputed company and contribute to the development of innovative data solutions that drive business value and growth, while advancing your career and achieving your professional goals.