Cloud Data Engineer

2 weeks ago

India Bison Global Technology Search Full time

Cloud Data Engineer is required - 100% Remote working


With a strong background in AWS, Azure, and GCP the ideal candidate will have extensive 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.


  • 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, Databricks, Synapse, Snowflake and others is essential.


  • Familiarity with data extraction from SAP or ERP systems is a plus.


Key Responsibilities:


Design and Development:

  • 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.

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.


Essential experience must include


  • 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 ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
  • Experience with other ETL 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.
  • 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.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.


Preferred Qualifications:

  • Experience with other data tools and technologies such as Apache Spark, or Hadoop.
  • Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
  • Experience with CI/CD pipelines and DevOps practices for data engineering

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