Snowflake Data Engineer1
We are looking for a skilled
Snowflake Data Engineer
with hands-on experience in
Snowflake
, working knowledge of
Python
, and familiarity with workflow orchestration tools like
Airflow
. The ideal candidate will design, build, and optimize scalable data pipelines and data warehouse solutions.
Key Responsibilities
Design and develop scalable data solutions using
Snowflake
Build and maintain ETL/ELT pipelines using
Python
Develop and manage workflows using
Apache Airflow
Optimize data models, queries, and performance in Snowflake
Integrate data from multiple sources (APIs, databases, flat files)
Ensure data quality, integrity, and governance
Collaborate with data analysts, scientists, and stakeholders
Monitor pipelines and troubleshoot data issues
Implement best practices for data security and compliance
Required Skills & Qualifications
3–5 years of experience in data engineering or related roles
Strong hands-on experience with
Snowflake
Proficiency in
SQL
and data modeling concepts
Working knowledge of
Python
for data processing
Experience with
Apache Airflow
or similar orchestration tools
Understanding of ETL/ELT processes
Experience with cloud platforms (AWS, Azure, or GCP is a plus)
Familiarity with version control tools like Git
Preferred Qualifications
Experience with data lakes and big data technologies
Knowledge of CI/CD pipelines
Exposure to tools like dbt, Spark, or Kafka
Understanding of data warehousing concepts and architecture
Soft Skills
Strong problem-solving abilities
Good communication and collaboration skills
Ability to work in a fast-paced environment
Nice to Have
Certifications in Snowflake or cloud platforms
Experience working in Agile/Scrum teams
