Über
Responsibilities: • Design and develop scalable
ETL/ELT pipelines
to ingest and transform data from various sources. • Build and maintain
data models and transformations using DBT
in Snowflake. • Work closely with analysts and business users to deliver
Power BI dashboards and datasets
. • Integrate and automate data extraction from
external APIs using Python
, loading clean data into Snowflake. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Optimize and monitor data workflows in
ADF, AWS Glue
, or similar tools. • Work with
relational databases
and ensure data integrity, quality, and performance. • Maintain documentation and follow best practices for data engineering workflows. • Support data migration or integration efforts with
SAP BW
systems (a plus, not mandatory).
Required Skills: • Strong experience with
Snowflake
(data modeling, performance tuning, warehousing concepts). • Proficiency in
DBT (Data Build Tool)
for transformation pipelines. • Hands-on experience with
Power BI
(data modeling, DAX, visualization best practices) or other tools like SAC/Tableau. • Solid knowledge of
Python
, especially for API integrations and data processing. • Experience with
cloud-based data pipeline tools
, such as
Azure Data Factory (ADF)
and/or
AWS Glue
. • Good understanding of
relational databases
, SQL, and data modeling concepts. • Strong problem-solving skills and ability to work independently or in a team. • Excellent communication and documentation skills.
Nice to Have: • Exposure to
SAP BW
data sources or integration with Snowflake. • Experience with DevOps tools for data (CI/CD, version control in data workflows). • Familiarity with orchestration tools like Airflow or Azure Data Factory triggers.
Sprachkenntnisse
- English
Hinweis für Nutzer
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