Senior Snowflake Data Engineer
UrbanSoft SA
Source: Himalayas ↗
Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Australia, Canada, United Kingdom, United States
About the role
Skills mentioned in the listing
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Python · requirement-context
lementing data architectures on Snowflake. Hands-on experience with SQL, Python, or other relevant programming languages. Proficiency with ETL/ELT tools such as DBT, Matillion, or Informatica. Strong understandi
SQL · requirement-context
d implementing data architectures on Snowflake. Hands-on experience with SQL, Python, or other relevant programming languages. Proficiency with ETL/ELT tools such as DBT, Matillion, or Informatica. Strong unders
AWS · desirable
concepts, and cloud architectures. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Preferred: Advanced Snowflake Architect Certification. Experience with Snowflake features such as Snowpipe,
Azure · desirable
pts, and cloud architectures. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Preferred: Advanced Snowflake Architect Certification. Experience with Snowflake features such as Snowpipe, Time
Google Cloud · desirable
loud architectures. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Preferred: Advanced Snowflake Architect Certification. Experience with Snowflake features such as Snowpipe, Time Travel, an
Snowflake · mentioned
Senior Snowflake Data Engineer Job Summary We are seeking a highly skilled and motivated Senior Snowflake Data Engineer with a strong background in development and architecture. The ideal candidate will have deep experti
ETL · mentioned
client needs, leveraging Snowflake’s advanced features. Develop and optimize ETL/ELT processes for large-scale data ingestion, transformation, and processing. Collaborate with cross-functional teams, including data sci
Data engineering · requirement-context
uter Science, Engineering, or a related field. 5+ years of experience in data engineering with a focus on Snowflake. Proven expertise in designing and implementing data architectures on Snowflake. Hands-on exper
Data modelling · desirable
LT tools such as DBT, Matillion, or Informatica. Strong understanding of data modelling, warehousing concepts, and cloud architectures. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Preferred: