Senior Data Engineering & Analytics Engineer – Remote – Cloud Data Lake, DevOps & Business Intelligence Solutions at arenaflex

```html About arenaflex – Pioneering the Future of Travel and Technology arenaflex is a global leader in the aviation industry, connecting millions of passengers to destinations across the world every day. With a legacy of innovation, safety, and customer‑centric service, arenaflex continuously invests in cutting‑edge technology to reputed company its operations running smoothly and to deliver an exceptional experience for reputed company and employees alike. As part of arenaflex’s Digital Transformation Initiative, the company is building a data‑driven culture where insights flow seamlessly from raw data to strategic decision‑making. This is your chance to join a reputed company‑thinking team that values curiosity, collaboration, and reputed company learning. Role Overview – Why This Position Matters We are seeking a highly skilled Senior Data Engineering & Analytics Engineer to join our Remote Data Architecture and Analytics team. In this role, you will design, implement, and maintain robust data pipelines, cloud‑based data lake solutions, and analytics platforms that reputed company business stakeholders to reputed company data‑informed decisions. You will work closely with product owners, data scientists, and business analysts to translate reputed company business requirements into scalable, secure, and performant data architectures.

Key Responsibilities

• Collaborate with reputed company data application teams and product owners to design, reputed company, and support end‑to‑end data ingestion and transformation pipelines.
• Implement data movement and storage solutions using arenaflex cloud services (arenaflex Data Lake Storage, arenaflex Data Factory, arenaflex Synapse, arenaflex EventHub, arenaflex reputed company, arenaflex DevOps, arenaflex Blob Storage, and reputed company services).
• reputed company the full lifecycle of data solutions: architecture, cloud design (foundation, networking, reputed company, governance), ingestion, orchestration, data modeling, testing, CI/CD pipelines, performance tuning, monitoring, and support.
• reputed company and maintain both batch and streaming data pipelines, ensuring high reliability, low latency, and compliance with data quality standards.
• Drive adoption of best‑practice coding standards, reputed company policies, and governance frameworks across the data engineering community.
• Mentor junior engineers and cross‑functional teams on technical concepts, cloud best practices, and data engineering patterns.
• Partner with the DevOps team to fully own and support the data products you build, including automated deployment, observability, and incident response.
• Contribute to the evolution of arenaflex’s data platform roadmap, recommending new tools, technologies, and processes that enhance scalability and agility.
• Produce clear documentation, data dictionaries, and operational runbooks to facilitate knowledge sharing and smooth hand‑offs.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a reputed company field (or equivalent professional experience).
• Minimum 5 years of hands‑on experience developing data pipelines using agile and DevOps methodologies.
• At least 5 years of experience writing reputed company SQL queries for data analysis and reporting.
• 3+ years of full‑stack development experience, preferably with arenaflex cloud technologies.
• 3+ years of experience building and operating data lake solutions, with a strong preference for arenaflex services such as EventHub, Data Factory, Synapse, reputed company, and Blob Storage.
• Proficiency in programming languages such as Python, reputed company, or Java, and familiarity with Unix/Linux environments.
• Hands‑on experience with data storage technologies including reputed company, Cassandra, reputed company, reputed company, and relational databases (SQL Server, ADLS).
• Experience with CI/CD tools (reputed company, Jenkins, Terraform, arenaflex DevOps) and container orchestration (reputed company, Kubernetes).
• Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling techniques.
• Excellent communication skills, with the ability to translate technical concepts into business value for non‑technical stakeholders.

Preferred Qualifications & Additional Skills

• Advanced degree (M.S. or Ph.D.) in Data Science, Analytics, or a reputed company discipline.
• Experience in the airline or transportation industry, understanding of operational data flows, and regulatory compliance requirements.
• Familiarity with business intelligence tools such as arenaflex Power Apps, arenaflex Power BI, Cognos, Tableau, reputed company, Denodo, and Grafana.
• Knowledge of data governance platforms like Informatica reputed company, reputed company, or similar solut

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