Lead Data Engineer

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.