SAP Data Engineer 

India, Karnataka, Bengaluru 

200065054

What you'll do:

• You will work with a team of highly technical and motivated developers.
• Collaborate and work with teams spread across geographies and time zones.
• You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
• Implement backlogs for functional and non-functional requirements.
• Design and develop efficient AI/ML modules that drives complex business applications.
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
• You will work on multiple topics and technologies with adequate enablement.

What you bring:

Responsibilities:

• Design, develop, and maintain robust, scalable data pipelines to support various data processing needs.

• Implement data ingestion processes from multiple sources including databases, APIs, and streaming platforms.

• Optimize and tune data pipelines for performance, reliability, and scalability.

• Collaborate with data scientists and analysts to understand data requirements and implement solutions that meet their analytical needs.

• Work closely with software engineers to integrate data solutions into existing systems and applications.

• Implement and enforce data governance policies to ensure data quality, consistency, and security.

• Troubleshoot and resolve data-related issues in a timely manner.

• Stay up-to-date with emerging technologies and trends in data engineering and contribute to continuous improvement initiatives.

Requirements:

• Bachelor's degree in Data Science or a related field. Master's degree preferred.

• 4-5 years of experience in data engineering roles, preferably in a fast-paced environment.

• Experience with ETL (Extract, Transform, Load) tools such as Informatica, Talend, or Apache NiFi.

• Hands-on experience with relational and NoSQL databases.

• Experience with data processing frameworks and technologies such as Apache Spark, Hadoop, or Flink.

• Proficiency in programming languages such as Python, Java, or Scala.

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Familiarity with machine learning concepts and frameworks.

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