Software Development Engineer II - Data Engineering
Team: Data Platform
Location: Bengaluru
Commitment: Full Time
Workplace Type: onsite
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
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