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Chief Data Architect

2 weeks ago

Mumbai, Maharashtra, India beBeeCloudDataEngineer Full time US$ 1,50,000 - US$ 1,70,000

About our Team

We are looking for a skilled Cloud Data Engineer to join our team.

The ideal candidate will have experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc.

Key Responsibilities:

Data Ingestion and Processing

  • Design and develop 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.

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 ETL processes.
  • 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 ETL pipelines and data integrations.

Qualifications include a Bachelor's degree in Computer Science, Information Technology, or a related field, and 7+ years of experience as a Data Engineer or in a similar role.