DWH Architect Data Modeling
... a plus. Technologies we use: Data Warehouse Big Data: Snowflake, ADL, and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT ...
... a plus. Technologies we use: Data Warehouse Big Data: Snowflake, ADL, and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT ...
... : Proficiency in PySpark, SQL and Python. Familiarity with cloud platforms (Azure, AWS, Google Cloud) and big data technologies. Experience with data visualization tools (e.g., Power ...
... in programming languages such as Python, Scala, or SQL for data manipulation and transformation. Hands-on ...
... deployed. Our data stack We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much ... . Python, R, dbt) We are an ...
... 5 years of experience in data engineering or a related field. Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark. Good knowledge of ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT ...
... designs, familiarity with data-related areas, such as ETL, data warehouses, data lakes, data architecture, AI, T-SQL, SQL and NoSQL databases, Big Data analytics and others, solid software development background (Python preferred), experience in ...
... IT with a focus on Data Engineering. Experience with designing data platforms on AWS. Including designing ... relational and non-relational databases, data warehouses, ETL ELT processes, and data management tools. Experience with various ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... experience in the operationalization of Data Science projects using Azure experience in deploying ML models to production and managing them advanced Python programming skills along with knowledge of Python ML stack advanced knowledge of ...