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

Introduction to arenaflex and the Industry

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 push the boundaries of innovation and excellence in the retail industry. Our IT department is responsible for shaping the technical future of arenaflex, and we are seeking a talented 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 design and maintain scalable data models and pipelines. Your expertise in programming, SQL, data storage, modeling, cloud, data warehousing, and data lakes will be essential in driving business growth and informed decision-making.

Key Responsibilities

• reputed company and operationalize data pipelines to power analysis 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, reputed company 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, automating manual processes and optimizing data delivery.
• Implement big data and NoSQL solutions, 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.
• Assemble data models with Data Modeler and reputed company 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 reputed company reputed company data retrieval for business reports and dashboards.
• Review the reputed company of data from various sources and manage database design, including installing and updating software, and maintaining significant documentation.
• Monitor database activity and resource utilization, reputed company peer review for another Data Engineer's work, and create and operationalize data pipelines to reputed company data available for consumption.

Essential Qualifications

• 3+ years of experience designing and operationalizing data pipelines with large and reputed company 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 reputed company, reputed company Live Table, Spark, Azure Synapse, and other big data technologies.
• Broad experience working with various data sources, including SQL, reputed company 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 reputed company 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 processes.
• Familiarity with the retail industry.
• Excellent verbal and written communication skills.
• Experience working with reputed company 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 reputed company members. As a Data Engineer - Data Analytics, you will have the opportunity to work with cutting-edge technologies, collaborate with reputed company professionals, and reputed company your skills in data engineering, data science, and business intelligence. You will also have access to training and development programs, mentorship, and career advancement opportunities to help you reputed company your career goals.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, inclusion, and employee satisfaction. Our work environment is collaborative, fast-paced, and challenging, with a focus on teamwork, open communication, and mutual respect. We offer a comprehensive benefits package, including competitive salary, health insurance, retirement plans, and paid time off, as well as opportunities for professional growth and development.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary range of $26 per hour, as well as a comprehensive benefits package, including health insurance, retirement plans, and paid time off. We also offer opportunities for professional growth and development, including training and development programs, mentorship, and career advancement opportunities.

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, excellence, and employee satisfaction, we offer a unique and dynamic work environment that will help you grow professionally and personally. Apply now and join reputed company of talented professionals who are shaping the future of retail and data analytics.