Our client, a leading financial company, is looking for a Senior Data Engineer to join their expanding team. You will be working with some of the brilliant minds in the technology space
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Responsibilities:
Generating ad-hoc reports for marketing in different countries.
Creating and maintaining datasets and dashboards in data visualization tools and managing access for stakeholders from various regions.
Transporting data across different sources, constructing data workflows, overseeing data management and governance, and maintaining cloud data warehouses and lakes.
Establishing database layers to support ad-hoc reports and insights.
Assisting in the creation of central data layers to facilitate data scientists and data analysts.
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Requirements:
A degree in IT, Computer Science, or a related field.
4-5 years of relevant work experience as a business analyst in the insurance sector.
Strong analytical, problem-solving, and organizing skills.
Excellent understanding of SQL data storage structures and storage/query optimizations (MySQL, Redshift, and Dynamo DB).
Proficiency in Python.
Experience with data visualization tools such as Power BI is beneficial.
Familiarity with data warehousing/lake concepts, including ETL processes, real-time streaming, and data modeling.
Knowledge of AWS Glue, AWS Lambda, AWS S3.
Familiarity with DBT, Airflow, DMS, GIT.
A deep understanding of how to build data pipelines.
Excellent English verbal and written communication skills, problem-solving skills, with strong analytical abilities.
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If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Harry Tsang at resume@pinpointasia.com and put Senior Data Engineer, Leading Financial Company in the subject header.
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Data provided is for recruitment purposes only.