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About opportunicore – A Global Retail Powerhouse
opportunicore is the world’s third‑largest retailer, operating in 14 countries and serving millions of customers every day. Despite its massive scale, opportunicore is renowned for maintaining a family‑like, employee‑centric culture where every team member can thrive. Recognized by Forbes as one of the “World’s Best Employers,” opportunicore combines cutting‑edge technology with a commitment to sustainability, diversity, and continuous learning. As a remote‑first organization, opportunicore empowers its workforce to work from anywhere while staying deeply connected to the company’s mission of delivering quality, value, and convenience.
Why This Role Matters
Data is the lifeblood of opportunicore’s retail operations. From inventory management to personalized customer experiences, every decision is powered by robust data pipelines and analytics. As a Data Engineer – Data Analytics, you will be the architect behind the end‑to‑end data flow that fuels business intelligence, advanced analytics, and machine‑learning initiatives across the enterprise. Your work will directly impact how opportunicore’s millions of shoppers receive the right products at the right time.
Key Responsibilities
- Design, build, and operationalize scalable data pipelines that ingest, transform, and load data from a variety of internal and external sources.
- Collaborate closely with Data Architects, Data Scientists, and BI Engineers to define and maintain flexible data models that serve as the single source of truth.
- Implement robust data quality checks, validation rules, and monitoring frameworks to ensure data reliability and integrity.
- Automate manual processes by developing reusable ETL/ELT workflows using Informatica PowerCenter, Informatica IICS, and cloud‑native services.
- Leverage cloud platforms such as Azure Data Lake Storage (ADLS), Azure Synapse, Azure Databricks, and Azure Event Hub to accelerate data delivery and reduce latency.
- Maintain comprehensive documentation, data dictionaries, and lineage diagrams to support cross‑functional teams.
- Participate in code reviews, peer assessments, and knowledge‑sharing sessions to foster a culture of continuous improvement.
- Provide technical mentorship to junior engineers and act as a bridge between technical and non‑technical stakeholders, translating complex concepts into clear, actionable insights.
- Monitor data pipeline performance, troubleshoot bottlenecks, and proactively optimize for cost‑efficiency and scalability.
- Lead special data‑recovery initiatives for critical business reporting and dashboarding needs.
Essential Qualifications
- Minimum 3+ years of hands‑on experience designing and operating data pipelines with large, complex datasets.
- Proven expertise with Informatica PowerCenter (3+ years) and Informatica IICS (3+ years).
- Strong background in ETL/ELT development, data warehousing, and data modeling.
- Extensive experience working with cloud data platforms (Azure ADLS, Azure Synapse, Azure Databricks, Azure Event Hub, etc.).
- Deep knowledge of relational databases (SQL, Oracle) and semi‑structured data formats (CSV, JSON, XML, APIs).
- Advanced SQL skills with the ability to write complex queries across multiple data sources.
- Solid understanding of data lake concepts, NoSQL databases, and big‑data storage architectures.
- Demonstrated ability to communicate technical concepts to non‑technical audiences, both verbally and in writing.
- Willingness to work in a fast‑paced, agile development environment with occasional on‑call rotations.
Preferred Qualifications & Additional Skills
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
- Azure certifications (e.g., Azure Data Engineer Associate) or equivalent cloud credentials.
- Experience with event‑driven architectures and streaming platforms such as Kafka or Azure Event Hub.
- Familiarity with Git, Azure DevOps, and CI/CD pipelines for data engineering.
- Hands‑on experience integrating SAP data using SAP connectors or middleware tools.
- Knowledge of job scheduling tools like UC4 (Automic) or Azure Data Factory triggers.
- Exposure to the retail industry and an understanding of retail‑specific data challenges.
- Strong written and verbal communication skills, with a collaborative mindset.
Core Skills & Competencies
- Programming Languages: Python, Java, or Scala for data processing.
- Data Integration Tools: Informatica PowerCenter, Informatica IICS, Azure Data Factory.
- Cloud Services: Azure Data Lake Storage, Azure Synapse, Azure Databricks, Azure Event Hub.
- Database Technologies: SQL Server, Oracle, NoSQL (e.g., Cosmos DB, MongoDB).
- Big Data Frameworks: Spark, Hadoop ecosystem.
- Version Control & DevOps: Git, Azure DevOps, CI/CD pipelines.
- Data Modeling: Dimensional modeling, star/snowflake schemas, data vault.
- Analytical Mindset: Ability to translate business requirements into technical solutions.
- Problem‑Solving: Proactive identification of performance bottlenecks and data quality issues.
Career Growth & Learning Opportunities
opportunicore invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:
- Mentorship programs pairing you with senior architects and data scientists.
- Tuition reimbursement for advanced degrees, certifications, and industry conferences.
- Internal training labs focused on emerging technologies such as AI/ML, real‑time analytics, and data mesh architectures.
- Opportunities to lead cross‑functional projects that influence global retail strategy.
- A clear career ladder from Data Engineer to Senior Engineer, Lead Architect, and eventually Director of Data Engineering.
Work Environment & Culture at opportunicore
opportunicore’s remote‑first policy means you can work from the comfort of your home while staying fully integrated with a vibrant, collaborative team. Our culture is built on:
- Inclusivity: Diverse perspectives are celebrated, and every voice matters.
- Innovation: Teams are encouraged to experiment, fail fast, and iterate.
- Work‑Life Balance: Flexible schedules, generous paid time off, and wellness programs.
- Recognition: Regular employee awards, peer‑to‑peer recognition, and performance‑based bonuses.
- Community Impact: opportunicore’s sustainability initiatives and charitable programs allow you to give back.
Compensation, Perks & Benefits
opportunicore offers a competitive compensation package that includes:
- Hourly rate of $26 per hour (commensurate with experience).
- Performance‑based bonuses and annual salary reviews.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company matching.
- Generous paid time off, parental leave, and flexible holiday policies.
- Remote‑work stipend for home office setup, internet, and ergonomic equipment.
- Access to learning platforms (LinkedIn Learning, Coursera, etc.) and internal tech conferences.
- Employee assistance programs, mental‑health resources, and wellness challenges.
How to Apply
If you are passionate about building world‑class data pipelines, thrive in a dynamic, fast‑moving environment, and want to be part of a globally recognized retailer that values its people, we want to hear from you. Click the link below to submit your application and start a career that can truly reshape the future of retail data.
Apply Now – Join opportunicore!
Closing Statement
opportunicore is more than a retailer; it’s a community of innovators, problem‑solvers, and forward‑thinkers. By joining our data engineering team, you will help power the insights that keep millions of customers smiling every day. Take the next step in your career—apply today and become a pivotal part of opportunicore’s data‑driven success story.
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