Role Description

The project involves designing, developing, and maintaining robust Data pipelines and platforms to support analytics & reporting across business units. As we expand our data capabilities, this initiative plays a critical role in driving operational intelligence, improving forecasting, and supporting innovation through data-driven strategies.

• Assist in the design and implementation of data pipelines to collect, process, and store data from various sources.
• Write and optimize SQL queries to extract and manipulate data for reporting and analysis.
• Collaborate with data analysts and data scientists to understand data requirements and provide the necessary data support.
• Organize, build and maintain data stores of structured and unstructured data on a Cloud environment.
• Build data pipelines to enable scalable processing of large volumes of data. Develop scalable and high-performance application architectures using modern development frameworks. Work closely with business stakeholders and project leads to gather requirements and convert them into effective solutions.
• Document data processes, workflows, and data models to maintain clear communication within the team Maintain technical documentation related to application design, workflows, and deployment

Requirement

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 4+ years of experience in data engineering
• Strong knowledge in SQL, ETL Teradata, Hadoop, Python and experience with writing queries for data extraction and manipulation.
• Experience implementing complex ETL and data extraction projects from scratch.
• Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools Unix/Linux/HDFS environments
• Proficiency in SQL and RDBMS
• Good working knowledge of Git and CI/CD pipelines
• Experience in Graph database desirable but not mandatory Thorough knowledge of data security, privacy, and compliance regulations