Lead Data Engineer
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Job Description
Must haves
Data Warehousing and Dimensional Data Modeling on Snowflake;
ETL is the core but working knowledge of Python. Cloud data integration services with ETL Knowledge;
Worked with Google Cloud Platform (Composer, Google Cloud Storage, Big Query);
Experience with Apache Airflow;
Experience with Docker and Kubernetes;
Working financial services experience: asset management and wealth management business knowledge, for example: investment life cycle, knowledge of financial products, and compliance.
Nice to haves
For data modeling: Erwin Data Modeler.
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office whatever makes you the happiest and most productive.
Data Warehousing and Dimensional Data Modeling on Snowflake; ETL is the core but working knowledge of Python. Cloud data integration services with ETL Knowledge; Worked with Google Cloud Platform (Composer, Google Cloud Storage, Big Query); Experience with Apache Airflow; Experience with Docker and Kubernetes; Working financial services experience: asset management and wealth management business knowledge, for example: investment life cycle, knowledge of financial products, and compliance.
Employment Type
Full Time
