Senior Data Engineer (Snowflake, dbt)

Analytics engineers provide clean data sets to end users, modeling data in a way that empowers users to answer their own questions. While a data analyst spends their time analyzing data, an analytics engineer spends their time transforming, testing, deploying, and documenting data. Data modeling techniques are a part of their skillset. Analytics engineers apply software engineering best practices like version control and continuous integration to the analytics code base.

Required experience and qualifications:

• Skilled in data processing
• Experience with data modeling and designing conceptual, logical and physical data models
• Design EL(T) data pipelines using SQL (DBT certification is added advantage)
• Is familiar with traditional DW relational concepts (Dimensions, Facts, star schema, snowflake, SCDs)
• Understands the fundamentals of distributed data warehousing (Redshift)
• GIT knowledge is a must
• DataOps mindset
• Experience with Data Vault 2.0 methodology is a plus
• python and jinja experience is a plus
• CI/CD experience is a plus
• DevOps & DataOps skill is a plus
• Knowledge of the Pharma Commercial Data landscape is a plus

Benefits

• Hybrid working arrangement
• 15% EPF contribution for local candidates
• Flexible working hours
• Work-life balance
• Health insurance coverage (including spouse and children)
• Transport allowance
• Integration activity
• Opportunities for promotion (reviewed annually)
• Professional development
• Optical coverage reimbursement
• Additional 2 days of annual leave after 1 year at Billennium