Senior Cloud Data Engineer

23 hours ago

Anantapur, Andhra Pradesh, India beBeeData Full time US$ 1,40,000 - US$ 1,80,000
Job Overview

We are seeking a seasoned Data Engineer to join our team. This individual will be responsible for designing, implementing, and maintaining scalable data pipelines and building robust data lakes.

Key Responsibilities:
  • Data Pipeline Development: Design, develop, and maintain ETL processes using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and others.
  • Data Lake Architecture: Architect and implement data lakes and data warehouses on cloud platforms including AWS, Azure, and GCP.
  • Data Ingestion and Transformation: Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 7+ years of experience as a Data Engineer or in a similar role.
  • Proven experience with cloud platforms: AWS, Azure, and GCP.
  • Familiarity 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.
  • Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
Preferred Qualifications:
  • 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.
What We Offer:
  • Remote Work Opportunity.
  • Flexibility in work arrangements.
  • Training and Certification Support.
  • State-of-the-Art Technology.
  • A Collaborative Team Environment.

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