Software Development Engineer II Data Platforms
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Job Location:
Monthly Salary:
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Summary: We are seeking a talented and motivated Software Development Engineer II to join our high-performing Data Engineering this role you will contribute to building and maintaining the critical data infrastructure that handles hundreds of millions of requests per minute (RPM) for our ingestion services processes billions of events daily from Kafka and manages petabytes of data stored in data lake. You will work alongside senior engineers to implement scalable reliable and performant data solutions that directly impact our global user base. This is an excellent opportunity to grow your technical skills contribute to meaningful projects and be part of building the next generation of AI-powered experiences.
Youll also be contributing to the data foundations for our AI initiatives including working on data pipelines that support our MCP server and infrastructure for cutting-edge AI Agents while learning from experienced engineers and growing your expertise in large-scale data systems.
About the team: Data platforms team at JioHotStar is building the next generation of AI-powered experiences and autonomous agents leveraging our vast data to create truly innovative products. Beyond traditional data engineering youll be instrumental in developing the data foundations for our AI initiatives including the development of our own MCP server and the infrastructure supporting our cutting-edge AI Agents.
Key Responsibilities:
- Feature Implementation: Develop and implement features for data ingestion processing governance observability and storage systems based on technical specifications and guidance from senior engineers
- Real-time Data Pipeline Contribution: Build components for highly scalable accurate and real-time event collection systems under the guidance of senior team members
- Data Pipeline Development: Implement data pipelines to support AI model training and autonomous AI Agents ensuring data quality and reliability
- Code Quality: Write clean maintainable and well-tested code following established engineering standards and best practices
- System Maintenance: Contribute to improving existing systems and services using modern tooling and engineering practices
- Performance Optimization: Help identify and implement optimizations for ingestion storage and processing components
Skills and Attributes to success:
- Data Processing: Hands-on experience with data processing frameworks like Apache Spark Apache Flink or similar technologies for batch and streaming workloads
- AI/ML Pipeline Experience: Some exposure to building data pipelines for machine learning workflows feature engineering or model training (nice to have)
- Messaging Systems: Experience with messaging queues and stream processing platforms like Apache Kafka Kinesis or equivalent
- Cloud Platforms: Working knowledge of at least one major cloud platform (AWS GCP or Azure) and their data services with preference for AWS (S3 EMR Kinesis etc.)
- Data Storage: Understanding of modern data warehousing and data lake concepts (Snowflake BigQuery Redshift Delta Lake)
- ETL/Pipeline Tools: Experience building ETL/ELT pipelines using tools like Apache Airflow Prefect or similar orchestration systems
- Databases: Solid SQL skills and experience with both relational (PostgreSQL MySQL) and NoSQL databases (Cassandra DynamoDB)
- Monitoring: Experience with monitoring and observability tools (Datadog Grafana Prometheus etc.)
- IaC : Familiarity with Infrastructure as Code (Terraform CloudFormation)
Preferred Education & Experience:
- Professional Experience: 2 - 4 years of software engineering experience with at least 2 years focused on data engineering or related fields
- Scale Exposure: Experience working with large datasets and high-throughput systems (millions of events terabytes of data)
- Programming Skills: Proficiency in at least one major programming language such as Python Java Scala or Go
- System Design Understanding: Basic understanding of distributed systems concepts and data processing patterns
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities gender gender identity and any other characteristics or status that is legally protected
If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Account Payable
- Apache Commons
- Community Support
- Corporate Risk Management
- Garment
- Java
About Company
JioStar combines the power of Reliance’s Viacom18 and Disney Star, delivering unmatched entertainment with 120+ TV channels and two leading streaming platforms. Explore a new era of content with JioStar.
