Cloud Data Engineer Position
2 days ago
We are seeking an experienced Cloud Data Engineer to join our team at Bison Global Technology Search.
Job Summary:The ideal candidate will have a strong background in cloud-native ETL tools and extensive experience with data extraction from SAP/ERP systems.
Key Responsibilities:- Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.).
- Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP).
- Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
- Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others.
- Develop and optimize data processing jobs using Spark Scala.
- Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake.
- Ensure data quality and integrity through rigorous testing and validation.
- Perform data extraction from SAP or ERP systems when necessary.
- Monitor and optimize the performance of data pipelines and ETL processes.
- Implement best practices for data management, including data governance, security, and compliance.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Collaborate with cross-functional teams to design and implement data solutions that meet business needs.
- Document technical solutions, processes, and workflows.
- Maintain and troubleshoot existing ETL pipelines and data integrations.
- 7+ years of experience as a Data Engineer in a similar role.
- Minimum 3 years of experience with Databricks on AWS.
- Experience with data extraction from SAP or ERP systems.
- Strong experience with Spark and Scala for data processing.
- Strong programming skills in Python, Java, or Scala.
- Proficient in SQL and query optimization techniques.
- Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
- Knowledge of data governance, security, and compliance best practices.
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