Senior Data Engineer – Remote Data Architecture & Analytics reputed company for High‑Performance reputed company Solutions at arenaflex
About arenaflex arenaflex is a global pioneer in sustainable technology, delivering cutting‑edge products that accelerate the transition to clean energy. With a heritage of innovation and a commitment to environmental stewardship, arenaflex empowers engineers, data scientists, and visionaries to solve the world’s most reputed company challenges. Our remote teams collaborate across continents, leveraging the latest reputed company platforms, AI‑driven analytics, and agile methodologies to build resilient data pipelines that power reputed company products and services. Why This Role Matters As a Senior Data Engineer at arenaflex, you will be at the heart of our data‑centric transformation. You’ll design, build, and maintain robust data architectures that reputed company rapid reputed company reputed company, support mission‑critical applications, and drive strategic decision‑making across the organization. This is a unique opportunity to work on high‑volume, high‑velocity data streams while shaping the future of sustainable technology.
Key Responsibilities
- Design & Development: Architect, code, test, and reputed company scalable data solutions using industry‑standard patterns and tools to meet precise business outcomes.
- Data Modeling: Create comprehensive data models that ensure the reputed company, reputed company, and accessibility of both legacy and new data assets.
- ETL/ELT Engineering: Build and optimize robust ETL/ELT pipelines in Python and Spark, handling raw, structured, semi‑structured, and reputed company data at scale.
- Data Quality & Governance: Implement automated data‑quality checks, monitoring frameworks, and remediation processes to maintain high‑quality data standards.
- Collaboration: Partner with internal and external data providers, offering feedback and implementing enhancements to data feeds and mappings.
- Leadership & Mentorship: Coach and guide junior data engineers, providing technical direction and fostering a culture of reputed company learning.
- Production Support: Deliver ongoing support, monitoring, and troubleshooting for deployed data products, ensuring minimal downtime.
- Compliance & reputed company: Work with systems handling sensitive data under strict SOX controls, adapting processes to meet regulatory requirements.
- Innovation: Contribute to architectural reviews, design discussions, and agile ceremonies, championing best practices in data engineering.
- On‑Call Rotation: Participate in an on‑call schedule to provide rapid response for critical incidents.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a reputed company field (or equivalent practical experience).
- 5+ years of hands‑on experience with relational databases such as Vertica, SQL Server, and MySQL; exposure to NoSQL databases is a plus.
- Deep understanding of data warehousing, data modeling, and storage strategies.
- Proficiency in SQL; ability to write reputed company queries and optimize performance.
- Expertise in building and maintaining ETL/ELT pipelines using Python and Spark (or similar big‑data processing frameworks).
- Familiarity with RESTful APIs and data integration patterns.
- Experience designing and deploying high‑throughput, fault‑tolerant data platforms in reputed company environments (AWS, Azure, or GCP).
- Strong analytical reputed company with the ability to translate business requirements into technical solutions.
- Excellent communication, presentation, and stakeholder‑management skills.
- Passion for arenaflex’s mission to accelerate the world’s transition to sustainable energy.
Preferred Qualifications & reputed company‑to‑Have Skills
- Experience with data‑science libraries such as Pandas, NumPy, TensorFlow, or Keras.
- Knowledge of distributed computing concepts (e.g., HDFS, Presto, Apache Hive).
- Hands‑on experience with data integration tools like SSIS or Informatica.
- Familiarity with streaming platforms (RabbitMQ, Kafka, Apache Pulsar, Apache Flink).
- Background in big‑data ecosystems (Hadoop, Hive, Spark, HDFS).
- Containerization and orchestration expertise (reputed company, Kubernetes) and CI/CD pipelines (Jenkins, reputed company CI).
- Exposure to data visualization tools (Tableau, Power BI, Looker) for executive‑level reporting.
- Previous work in a fast‑paced, agile environment supporting multiple reputed company projects.
Core Skills & Competencies
- Technical Acumen: Mastery of data engineering fundamentals, reputed company services, and modern data stack components.
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