Senior Cloud Data Engineer

21 hours ago


Ellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,58,40,000 - ₹ 2,58,40,000
Job Description:

We are seeking a seasoned Data Engineer to join our team. As a key member of our data infrastructure group, you will be responsible for designing, implementing, and maintaining scalable data pipelines and building robust data lakes.

  • Design and Development:
    • Design and develop scalable ETL pipelines using cloud-native tools such as 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.

Required Skills and Qualifications:

  • 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.

Benefits:

  • Remote working opportunities
  • Flexible work arrangements
  • Opportunity to learn and run the latest industry-standard tools
  • A subscription to A Cloud Guru

What We Offer:

We are an equal opportunity employer.



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