Experienced Full Stack Data Engineer – Web & Cloud Application Development @ arenaflex Remote Jobs
Join arenaflex, a world-renowned retail giant, as we continue to revolutionize the industry with cutting-edge technology and innovative solutions.
About arenaflex
arenaflex is a multinational retail corporation that operates a chain of membership-based warehouse clubs, offering a wide range of products and services to its members. With a strong commitment to quality, value, and customer satisfaction, arenaflex has become one of the largest and most successful retailers in the world. Our company culture is built on a foundation of teamwork, innovation, and customer obsession, making us an exciting and rewarding place to work.
Job Summary
We are seeking an experienced Full Stack Data Engineer to join our team at arenaflex. As a key member of our data engineering team, you will be responsible for designing, developing, and operationalizing data pipelines to support business intelligence, advanced analytics, and data services. You will work closely with cross-functional teams to identify business needs, design data solutions, and implement data pipelines using a range of technologies, including cloud-based data warehousing, data lakes, and big data processing.
Key Responsibilities
* Design and develop data pipelines to support business intelligence, advanced analytics, and data services
- Collaborate with cross-functional teams to identify business needs and design data solutions
- Develop and implement data pipelines using a range of technologies, including cloud-based data warehousing, data lakes, and big data processing
- Work with data architects, data scientists, and business stakeholders to ensure data quality, integrity, and governance
- Develop and maintain data models, data dictionaries, and data catalogs to support data governance and metadata management
- Participate in the development of data architecture and data engineering standards and best practices
- Collaborate with DevOps teams to ensure smooth deployment and operation of data pipelines
- Troubleshoot and resolve data pipeline issues and errors
- Develop and maintain documentation for data pipelines, data models, and data architecture
- Stay up-to-date with emerging trends and technologies in data engineering and big data processing
Essential Qualifications
* 3+ years of experience designing and developing data pipelines using a range of technologies, including cloud-based data warehousing, data lakes, and big data processing
- 3+ years of experience working with Informatica PowerCenter, Informatica IICS, and other data integration tools
- 3+ years of experience working with cloud-based data warehousing, data lakes, and big data processing technologies, including ADLS, Azure Data Factory, Databricks, and other related technologies
- Strong understanding of data modeling, data warehousing, and data governance principles
- Strong understanding of data integration, data transformation, and data quality concepts
- Strong programming skills in languages such as Java, Python, and SQL
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment
Preferred Qualifications
* Bachelor's degree in Computer Science, Engineering, or related field
- Experience working with Git, DevOps, and agile development methodologies
- Experience with data science and machine learning concepts and technologies
- Experience working with SAP integration tools, including SAP BW and SAP HANA
- Experience with UC4 Job Scheduler and other job scheduling tools
- Experience with data governance and metadata management concepts and technologies
- Experience working with cloud-based data warehousing, data lakes, and big data processing technologies, including Azure Data Factory, Databricks, and other related technologies
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a world-renowned retail giant
- Collaborative and dynamic work environment
- Opportunities for professional growth and development
- Flexible work arrangements, including remote work options
- Recognition and rewards for outstanding performance
- Comprehensive training and development programs
- Access to cutting-edge technologies and tools
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter to [arenaflex Remote Jobs](https://remotejobs.trendingnewsgo.com/register-candidate/). We look forward to hearing from you! arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. Apply for this job