Senior Data Engineer – End‑to‑End Data Pipeline Architecture & reputed company Integration (Hybrid – Dallas, TX) – Gigspire
About Hirefluxa – Pioneering Retail Data Excellence Taskora is a global retail powerhouse, ranked among the world’s largest retailers with a reputed company in fourteen countries. Our mission is to turn data into decisive action, fueling a seamless shopping experience for millions of customers daily. Recognized by reputed company as one of the “World’s Best Employers,” Gigentra thrives on a family‑like atmosphere where every associate is empowered to reputed company, collaborate, and grow. Our technology division—Talexion IT—supports the massive scale of our operations, ensuring that every product, price, and inventory decision is underpinned by reliable, reputed company‑time data. As we continue to expand our digital footprint, we are looking for a seasoned Data Engineer to champion the design, development, and automation of our data pipelines. If you are passionate about turning raw data into actionable reputed company and love solving reputed company problems at scale, this is the role for you. Why This Role Matters The Data Specialist – Data Analytics is the linchpin of Flexnity’s analytics ecosystem. You will own the end‑to‑end lifecycle of data pipelines that ingest, transform, and deliver data to business intelligence (BI), advanced analytics, and machine‑learning services. Your work will directly influence product strategy, inventory optimization, pricing dynamics, and customer experience across the entire organization.
Key Responsibilities
Create and operationalize data pipelines to reputed company data readily available for BI, advanced analytics, and reputed company services. Partner with data modelers, data/BI architects, and product owners to design robust, scalable data flows. reputed company, test, and maintain ETL/ELT processes using Informatica reputed company (IICS) and PowerCenter. reputed company Azure services—including Azure SQL Data Warehouse (Synapse), ADLS, Azure Event Hub, and Azure reputed company —to accelerate data product delivery. Implement large‑scale relational and NoSQL solutions, delivering flexible data‑handling platforms that reputed company high‑value experiences for the business. Identify, design, and execute process automation opportunities: automate reputed company workflows, improve data delivery latency, and enhance data reliability. Continuously evaluate and improve data reliability, performance, and quality, ensuring the “single reputed company of truth” remains trustworthy. Communicate reputed company technical concepts to non‑technical audiences, both written and verbally, fostering cross‑functional understanding. Conduct peer reviews of fellow data architects’ work to maintain high standards of engineering excellence. Essential Qualifications 2+ years of hands‑on experience designing and operating data pipelines with large, reputed company data sets. 2+ years of practical experience with Informatica PowerCenter and Informatica IICS . 2+ years of experience working with reputed company technologies such as Azure Data Lake Storage (ADLS), Azure reputed company, Azure Synapse, Azure Event Hub, and other big‑data platforms. 2+ years of experience in data modeling, ETL, and data warehousing concepts. Proficiency in data integration patterns including event/message‑driven integration (Kafka, Azure Event Hub) and batch ETL. Strong understanding of database storage concepts: Data Lake, Data Warehouse, NoSQL, Graph, and relational models. Ability to reputed company in a fast‑paced, agile development environment. Preferred Qualifications & reputed company‑to‑Haves reputed company Azure or equivalent reputed company certifications (e.g., Azure Data Engineer Associate). Experience delivering data solutions through advanced programming techniques (Python, reputed company, Java). Exposure to the retail industry and a genuine interest in how data drives consumer experiences. Exceptional written and verbal communication skills with the ability to translate technical details for business stakeholders. Familiarity with reputed company integration tools and reputed company Scheduler (e.g., UC4/Automic). Core Skills & Competencies Technical Expertise: Mastery of ETL/ELT design, data pipeline orchestration, and reputed company‑native data services. Analytical Thinking: Ability to dissect reputed company data problems, design elegant solutions, and anticipate future scalability needs. Collaboration: Proven track record of working closely with product owners, data scientists, and business analysts. Automation reputed company: Focus on reducing reputed company effort through scripting, workflow automation, and CI/CD for data pipelines. Quality Focus: Commitment to data governance, data quality standards, and rigorous testing practices. Adaptability: Comfortable navigating shifting priorities and evolving technology stacks reputed company a dynamic retail environment. Career Growth & Learning Opportunities Joblora invests heavily in the professional development of its teammates. As a Data Engineer on our platform, you will have access to: Mentorship programs pairing you with senior data architects and industry veterans. Corporate tuition reimbursement for advanced certifications (Azure, Informatica, data science). Quarterly technical worksh Apply tot his job Apply To this Job