Responsibilities:
Develop and maintain scalable data pipelines for efficient data ingestion processing and analysis.
Collaborate with crossfunctional teams to understand data requirements and deliver solutions that meet business objectives.
Perform thorough data analysis to derive insights identify trends and support decisionmaking processes.
Optimize query performance and data processing workflows to enhance system efficiency and reduce latency.
Utilize Python and SQL to manipulate transform and cleanse data as needed.
Stay updated with emerging technologies and best practices in data engineering and analysis. Requirements:
Bachelor s degree in computer science Engineering or related field; advanced degree preferred.
Proven experience in data engineering with a strong emphasis on data analysis.
Proficiency in Python and SQL for data manipulation querying and scripting.
Familiarity with AWS services such as S3 EC2 Redshift Glue etc.
Experience optimising performance and scalability of data pipelines and databases.
Strong problemsolving skills and ability to work independently with minimal supervision.
Excellent co
mmunication and collaboration skills with the ability to articulate complex technical concepts to nontechnical stakeholders. Selfmotivated and proactive with a passion for continuous learning and improvement