to join our data engineering team. You will be responsible for designing and building scalable data pipelines, developing Snowpark-based data applications, and enabling advanced analytics solutions on the Snowflake Data Cloud platform.
Key Responsibilities
Develop and maintain robust, scalable, and high-performance
data pipelines
using
Snowflake SQL
,
Python
, and
Snowpark
.
Use
Snowpark (Python API)
to build data engineering within the Snowflake environment.
Perform advanced data transformation, modeling, and optimization to support business reporting and analytics.
Tune queries and warehouse usage for cost and performance optimization.
Leverage Azure data services for data ingestion, orchestration, observability etc.
Implement best practices for
data governance
,
security
, and
data quality
within Snowflake.
Required Skills
7+ years of hands-on experience with
Snowflake
development and administration.
Strong command of
SQL
for complex queries, data modeling, and transformations.
Proficient in
Python
, especially in the context of data engineering and Snowpark usage.
Working experience with
Snowpark
for building data pipelines or analytics applications.
Understanding of
data warehouse architecture
,
ELT/ETL processes
, and cloud data platforms.
Familiarity with
version control
systems (e.g., Git) and
CI/CD pipelines
.
Preferred Qualifications
Experience with
cloud platforms
like AWS, Azure, or GCP.
Knowledge of
orchestration tools
such as Airflow or dbt.
Familiarity with
data security
and
role-based access control (RBAC)
in Snowflake.
Snowflake certifications are a plus.
DBT tool knowledge
Soft Skills
Strong analytical and problem-solving capabilities.
Ability to work independently and in a collaborative team environment.
Excellent communication and documentation skills.
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ?150,000.00 - ?200,000.00 per month
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