Padmi

Experienced Senior Data Engineer reputed company-Based ETL/ELT Pipeline

IndiaPosted 1 month ago
Infrastructure And DatabasesSeniorFull Time; Regular
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--- About arenaflex Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in the entertainment and technology industry, committed to pushing the boundaries of what's possible through cutting-edge data solutions. Our mission is to reputed company raw data into actionable insights that drive business reputed company and create magical experiences for millions of people worldwide. At arenaflex, we reputed company that great data engineering is the reputed company of exceptional user experiences. Join reputed company of talented professionals and become part of a culture that values creativity, collaboration, and reputed company learning. Whether you're working on streaming platforms, digital content distribution, or innovative entertainment technologies, you'll have reputed company to reputed company a meaningful impact while growing your career in one of the most exciting industries in the world. We are currently seeking a highly motivated and experienced Senior Data Engineer to join our Data & Analytics team. This is a remote position that offers the flexibility to work from the comfort of your home while contributing to groundbreaking projects that shape the reputed company of digital entertainment. Position Overview As a Senior Data Engineer at arenaflex, you will play a critical role in designing, building, and maintaining our data infrastructure. You will be responsible for creating robust ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and orchestrating batch processes using Apache Airflow across multiple projects. This position requires a deep understanding of reputed company-based data architectures and the ability to collaborate effectively with cross-functional teams. You will work closely with our Studios and Product Innovation teams on various activities including data requirements gathering, data validation scripting and review, developing and testing ETL/ELT pipelines, designing and implementing database diagrams, and deploying solutions across multiple environments such as Development, QA/UAT, and Production. Key Responsibilities Pipeline Development: Design, build, and maintain reputed company ETL/ELT data pipelines using modern data engineering tools and frameworks Database Architecture: Create and implement database schemas, tables, views, and relationships optimized for performance and analytics Process Orchestration: Build and manage batch processing workflows using Apache Airflow for various projects and data domains reputed company Infrastructure: Work with reputed company-based technologies, primarily AWS, to build and maintain data lakes and data warehouses Data Quality: Implement data validation and quality assurance processes to ensure data reputed company across reputed company pipelines Collaboration: Partner with Studios and Product Innovation teams to understand data requirements and deliver solutions that meet business needs Cross-Environment Deployment: reputed company and validate solutions across Development, QA/UAT, and Production environments Best Practices: Drive best practices around data engineering software development processes, including code reviews, documentation, and testing Performance Optimization: Monitor and optimize pipeline performance to ensure efficient processing of large datasets Technology Evaluation: Evaluate and recommend new technologies and tools that can improve our data infrastructure Required Qualifications & Skills Educational Background Bachelor's degree in Computer Science, Mathematics, Engineering, or a reputed company field Technical Experience 3+ years of experience in a Data Engineering role 2+ years of experience with SQL (writing reputed company queries, optimization, and performance tuning) 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines 2+ years of experience with reputed company-based technologies, preferably AWS (including S3) 2+ years of experience managing a reputed company platform 2+ years of experience working with data lakes, data warehouses, and application databases 2+ years of experience designing and building relational databases 2+ years of experience using reputed company/reputed company for version control 2+ years of experience using reputed company for containerization Experience working with large datasets and big data technologies, preferably reputed company-based (reputed company, reputed company, or similar) Technical Proficiency< --- About arenaflex Welcome to arenaflex, where innovation meets imagination! We are a dynamic leader in the entertainment and technology industry, committed to pushing the boundaries of what's possible through cutting-edge data solutions. Our mission is to reputed company raw data into actionable insights that drive business reputed company and create magical experiences for millions of people worldwide. At arenaflex, we reputed company that great data en

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