Proven experience as a Data Engineer or in a similar role, with expertise in data ingestion and ETL processes.
Strong proficiency in
DBT (Data Build Tool)
for data transformation and modeling.
Hands-on experience with
Snowflake
, including
Snowflake SQL
and data warehousing concepts.
Solid understanding of
data architecture, data modeling, and data warehousing best practices
.
Key Responsibilities:
Design, develop, and maintain
robust data pipelines using
DBT and Snowflake
.
Implement and optimize
data ingestion processes
to ensure efficient and accurate data flow from multiple sources.
Collaborate with data scientists, analysts, and stakeholders to understand data requirements and maintain
data integrity and quality
.
Conduct
data analysis and profiling
to identify and resolve data quality issues.
Maintain
comprehensive documentation
of data workflows, models, and ETL processes.
Stay updated with the latest trends and technologies in
data engineering, DBT, and Snowflake
.
Technical Skills & Expertise:
Proficient in
SQL
and programming languages like
Python or Java
.
Hands-on experience with
AWS cloud platforms
, including
AWS Lambda (mandatory)
.
Familiarity with
other ETL tools
such as
Apache Airflow, Talend, or Informatica
is a plus.
Strong knowledge of
version control using Git
and branching models.
Experience in
code reviews
to ensure adherence to best coding practices and standards.
Soft Skills & Work Approach:
Ability to work
independently
and take ownership of assigned tasks.
Strong
communication skills
to collaborate effectively with team members and stakeholders.
Active participation in
Agile/Scrum
methodologies, including
daily stand-ups, sprint planning, and retrospectives
.

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