Data Engineer

JOB DESCRIPTION

• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Develop and maintain database architectures, including data lakes and data warehouses.
• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
• Optimize data retrieval and develop dashboards and reports for various user needs.
• Implement data security and privacy policies to comply with legal and regulatory requirements.
• Translate business problem into data use case to solved via enabling digital capabilities
• Data related processes including acquisition, classification, filtering, cleaning etc.
• Design and develop use case driven application to be deployed on Ops platform
• Development of applications on IIOT platform, design, setup and deployment.
• Implementing algorithms, Ai, automation etc. that can deliver data-exploration, decision support, recommendation systems, machine learning to achieve business efficiency and outcome.
• Analysis of deriving actionable outcomes.

JOB REQUIREMENTS

• At least 2-3 years of experience in data processing, and analytic
• Programming Languages: Proficiency in languages like Python, Java, or Scala.
• Database Technologies: Experience with SQL and other databases.
• Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Data Modeling: Ability to design and implement effective data models.
• Problem-Solving and Analytical Skills: Ability to identify and resolve complex data-related issues.
• Communication and Collaboration: Ability to work effectively with various teams and communicate technical information clearly.

BUSINESS UNIT