
Cloud Data Processing Specialist
1 week ago
About our company
We are a software-enabled services provider, focused on delivering superior, highly automated Managed Services to Enterprise customers. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC. We partner with global technology leaders.
We are seeking an experienced Data Engineer with a strong background in cloud platforms. The ideal candidate will have extensive experience with cloud-native data processing tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse is essential. Familiarity with data extraction from SAP or ERP systems is a plus.
**Key Responsibilities:**
- Design, develop, and maintain scalable data 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.
- Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
- Implement data processing jobs using Spark Scala.
Data Integration and Management:
- 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.
Performance Optimization:
- Monitor and optimize the performance of data pipelines and data processing jobs.
- Implement best practices for data management, including data governance, security, and compliance.
Collaboration and Communication:
- 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.
Documentation and Maintenance:
- Document technical solutions, processes, and workflows.
- Maintain and troubleshoot existing data pipelines and data integrations.
**Requirements:**
We are looking for a candidate with:
- A Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus.
- 7+ years of experience as a Data Engineer or in a similar role.
- Proven experience with cloud platforms: AWS, Azure, and GCP.
- Hands-on experience with cloud-native data processing tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
- Experience with other data processing tools like Informatica, SAP Data Intelligence, etc.
- Experience in building and managing data lakes and data warehouses.
- Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
- Experience with data extraction from SAP or ERP systems is a plus.
- Strong experience with Spark and Scala for data processing.
**Benefits:**
- Remote work opportunities.
- Flexible working hours.
- Professional development opportunities.
- State-of-the-art technology.
**Equal Opportunity Employer:**
We are an equal opportunity employer and welcome applications from diverse candidates.
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