Senior Data Engineer

1 month ago

Bangalore, India Rakuten Symphony Full time

Job Title: Senior Data Engineer

Location: Bangalore, India

Company: Rakuten Symphony, India

Overview

Rakuten Symphony is seeking an experienced and strategic Head/Senior Data Engineer to lead our data engineering initiatives and transform mobile connectivity through innovative data solutions. This senior leadership role requires deep expertise in large-scale data environments, advanced technical knowledge, and strong team management abilities. The ideal candidate has 12-20 years of experience and will drive architectural decisions, optimize data pipelines, and lead a team of data engineers to achieve technical excellence.

Key Responsibilities

• Drive the strategy and execution of Rakuten Mobile's data engineering roadmap, aligning with the company’s goals and industry best practices

• Design and implement high-availability and fault-tolerant data architectures capable of handling complex, distributed data systems

• Define, guide, and refine architecture for data processing, pipeline design, and data storage solutions to support advanced analytics and real-time decision-making

• Oversee the design, development, and optimization of large-scale ETL and ELT pipelines

• Ensure seamless integration of diverse data sources using modern tools and technologies, enhancing data ecosystem efficiency and robustness

• Lead, mentor, and develop a high-performing team of data engineers, fostering collaboration and continuous learning

• Act as a technical leader, promoting best practices in data engineering, including coding standards, quality checks, and performance tuning

• Supervise root cause analysis and troubleshoot production issues to ensure data accuracy, availability, and performance

• Implement improvements based on technical incident post-mortems and lessons learned

• Conduct research and comparative analysis on emerging data technologies to ensure Rakuten Mobile stays at the forefront of innovation

• Recommend tools, frameworks, and methodologies that enhance data engineering efficiency, performance, and scalability

• Ensure comprehensive documentation of data architecture, integrations, and pipelines for operational transparency and knowledge sharing

• Champion data governance, compliance, and security best practices across the team and organization

• Implement data pipeline monitoring and alerting systems to proactively identify, resolve issues and Optimize data pipelines for performance and cost-efficiency.

• Develop and maintain a comprehensive data catalog to ensure data discoverability and usability by Implementing data lineage tracking to provide visibility into data flow and transformations.

• Utilize advanced analytics and machine learning techniques to optimize data processing workflows.

• Implement caching and indexing strategies to improve data retrieval times.

• Create and maintain a knowledge base of best practices and lessons learned in data engineering.

Qualifications & Requirements

• 12-20 years of experience in data engineering, software engineering, or related fields, with a proven track record in large-scale, high-volume data environments

• Prior experience in a senior or head-level data engineering role, with demonstrated leadership capabilities

• Mastery of NiFi, Apache Spark, and distributed data ecosystems

• Strong expertise in Java and Scala programming languages for data applications

• In-depth experience with NoSQL databases, Presto, NiFi, Airflow, and complex SQL queries

• Proficiency in Data Modeling for both SQL and NoSQL data stores

• Hands-on experience in Kubernetes application development and K8s-centric applications

• Experience with ETL pipeline development in public cloud environments (AWS, Azure, Google Cloud) is a strong advantage

• Knowledge of POSTGIS and GeoSpark for geospatial data processing is beneficial

• Familiarity with Spring Framework for web application development

• Exceptional problem-solving abilities, capable of addressing complex technical challenges with a proactive, solution-oriented mindset

• A collaborative team player with the ability to communicate complex technical information to both technical and non-technical stakeholders

• Skilled in cross-functional collaboration, able to work effectively across departments and with senior leadership

Why Join Rakuten Symphony ?

Rakuten Symphony offers a unique opportunity to shape the future of mobile connectivity in a collaborative and growth-driven environment. As the Head/Senior Data Engineer, you’ll have a direct impact on cutting-edge projects and work with a team of top talent dedicated to innovation. Join us in Bangalore, India, and be part of our transformative journey in the mobile industry.

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