Data Engineer

4 weeks ago

Bengaluru, India gethyr Full time

Responsibilities:

- Designing and implementing fine-tuned production-ready data/ML pipelines in Hadoop platform.

- Driving optimization, testing, and tools to improve quality.

- Reviewing and approving high-level & detailed design to ensure that the solution delivers to the business needs and aligns with the data & analytics architecture principles and roadmap.

- Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.

- Following proper SDLC (Code review, sprint process).

- Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.

- Building robust and scalable data infrastructure (both batch processing and real-time) to support the needs of internal and external users

- Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.

- Supporting and contributing to developing guidelines and standards for data ingestion

- Working with data scientist and business analytics team to assist in data ingestion and data-related technical issues.

- Designing and documenting the development & deployment flow.

Requirements:

- Experience in developing rest API services using one of the Scala frameworks

- Ability to troubleshoot and optimize complex queries on the Spark platform

- Expert in optimizing 'big data' data/ML pipelines, architectures, and data sets

- Experience in Big Data access and storage techniques.

- Experience in doing cost estimation based on design and development.

- Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.

- Highly organized, self-motivated, proactive, and able to propose the best design solutions.

- Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

- Ability to analyze and understand complex problems.

- Ability to explain technical information in business terms.

- Ability to communicate clearly and effectively, both verbally and in writing.

- Strong in user requirements gathering, maintenance, and support

(ref:hirist.tech)

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