Great Eastern Life Assurance Company is seeking a Senior Data Engineer to develop and maintain data pipelines and ETL solutions, emphasizing data quality and scalability. The ideal candidate will possess strong experience in data engineering and big data technologies, along with a collaborative mindset to work with cross-functional teams
Job Summary
The role involves designing and maintaining robust ETL pipelines and data models aligned with organizational standards.
Candidates must possess strong communication skills to bridge technical and business domains while managing stakeholders.
The position requires a minimum of 5 years of experience in Business Intelligence or Data Analytics fields.
Matching Summary
Match Score: 85
Great Eastern Life Assurance Company is seeking a Senior Data Engineer to develop and maintain data pipelines and ETL solutions, emphasizing data quality and scalability. The ideal candidate will possess strong experience in data engineering and big data technologies, along with a collaborative mindset to work with cross-functional teams.
Skills & Requirements
Must-have
5 years experience in Data Engineering
Proficiency in Hadoop and Spark
Strong SQL skills for large datasets
Experience with cloud data services
Ability to design scalable data models
Nice-to-have
Understanding of banking and insurance domains
Stakeholder management and communication skills
Proactive problem-solving mindset
Experience with AWS, Azure, or GCP
Knowledge of big data architecture guidelines
Key Requirements
Bachelor Degree in Computer Engineering or related field
Minimum 5 years of experience in Data Engineering
Proven experience with Hadoop, Spark, Hive ecosystems