Job Description
Key Responsibilities:
• Maintaining and developing CI/CD pipelines based on Gitlab.
• Conduct code reviews, maintain code quality, and ensure best practices are followed.
• Implement data streaming and batch processing using Spark streaming, Apache Flink, Kafka, etc.
• Debug and upgrade existing systems.
Required Expirence:
• 3-6 Years experience in Snowflake and knowledge in transforming data using Data build tool.
• Strong programming skills in Spark and some combination of Java, Scala (good to have).
• Experience in AWS and API Integration in general with knowledge of data warehousing concepts.
• Should have experience in Data and Analytics and overseen end-to-end implementation of data pipelines on cloud-based data platforms.
• Strong programming skills in Spark and some combination of Java, Scala (good to have).
• Experience writing SQL, structuring data, and data storage practices.
• Experience in Spark for Data Processing and transformation.
• Experience building stream-processing applications (Spark streaming, Apache Flink, Kafka, etc.).
• Experience assembling large, complex structured and unstructured datasets that meet functional/non-functional business requirements.
• Experience working with cloud data platforms and services.
• Excellent communication and team collaboration skills.
• Shift Time: 1 pm to +.30 pm
Qualifications: Bachelor's degree in computer science or related field
• Maintaining and developing CI/CD pipelines based on Gitlab.
• Conduct code reviews, maintain code quality, and ensure best practices are followed.
• Implement data streaming and batch processing using Spark streaming, Apache Flink, Kafka, etc.
• Debug and upgrade existing systems.
Required Expirence:
• 3-6 Years experience in Snowflake and knowledge in transforming data using Data build tool.
• Strong programming skills in Spark and some combination of Java, Scala (good to have).
• Experience in AWS and API Integration in general with knowledge of data warehousing concepts.
• Should have experience in Data and Analytics and overseen end-to-end implementation of data pipelines on cloud-based data platforms.
• Strong programming skills in Spark and some combination of Java, Scala (good to have).
• Experience writing SQL, structuring data, and data storage practices.
• Experience in Spark for Data Processing and transformation.
• Experience building stream-processing applications (Spark streaming, Apache Flink, Kafka, etc.).
• Experience assembling large, complex structured and unstructured datasets that meet functional/non-functional business requirements.
• Experience working with cloud data platforms and services.
• Excellent communication and team collaboration skills.
• Shift Time: 1 pm to +.30 pm
Qualifications: Bachelor's degree in computer science or related field
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer|Spark Developer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
