Roles and Responsibilities
- Design, develop, and maintain large-scale data pipelines using Python and AWS services such as S3, Lambda, Step Functions, etc.
- Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
- Develop ETL processes to extract insights from various sources like Kafka streams and transform them into actionable recommendations for clients.
- Ensure high availability of data systems by implementing monitoring tools and performing regular maintenance tasks.
- Participate in code reviews to ensure adherence to coding standards and best practices.

Desired Candidate Profile
- 8-12 years of experience in Data Engineering with expertise in Python programming language.
- Robust understanding of AWS ecosystem including S3, Lambda functions, Step Functions, DynamoDB, Redshift, ElastiCache etc. .
- Experience working with Apache Kafka or similar messaging queues (e.g., RabbitMQ).
- Proven track record of developing scalable and efficient data processing workflows using big data technologies like Spark or Hadoop.

📌 Data Engineer (Bengaluru)
🏢 Spekond
📍 Bengaluru