Data Engineering Specialist

13 hours ago

Anand, Gujarat, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 1,80,000
Job Title: Data Engineering Specialist

As a seasoned data engineer with deep expertise in AWS Cloud Development, we are seeking an experienced professional to join our team and help drive the design, building, and optimization of large-scale data pipelines and architectures.

The ideal candidate will have hands-on experience designing, building, and maintaining scalable data products and developing and optimizing ELT/ETL processes using various tools and technologies.

Key Responsibilities:
  • Data Engineering & Architecture:
    • Design, build, and maintain efficient data pipelines and data models that drive operational and analytical workloads.
    • Develop and optimize ETL/ELT processes using various tools and technologies.
    • Support and evolve data models that drive business insights.
    • Modernize legacy systems and migrate workloads to cloud-native platforms.
  • Cloud Development & DevOps (AWS-Focused):
    • Build, deploy, and manage cloud-native data solutions using AWS services such as S3, Lambda, Glue, EMR, Redshift, Athena, and Step Functions.
    • Implement CI/CD pipelines and Infrastructure as Code (IaC) using Terraform and CloudFormation.
    • Monitor and optimize cloud infrastructure for performance, cost, and security.
    • Ensure scalability, resilience, and compliance of AWS-based data platforms.
  • Cross-functional Collaboration:
    • Partner with product managers, analysts, and engineers to deliver end-to-end solutions.
    • Contribute to the development of strategic roadmaps and support new project delivery.

Required Skills and Qualifications:

  • 7+ years of experience in data engineering or equivalent technical role.
  • 5+ years of hands-on AWS Cloud Development & DevOps experience.
  • Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
  • Deep experience with Oracle (PL/SQL, performance tuning, data extraction).
  • Proficiency in Python for data processing tasks.
  • Strong knowledge of cloud infrastructure (networking, security, cost optimization).
  • Experience with Infrastructure as Code (Terraform).
  • Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions).

Preferred Skills and Qualifications:

  • Experience with Google Cloud Platform (GCP) or Snowflake.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with modern orchestration frameworks (e.g., Airflow, dbt).
  • Exposure to data cataloging, governance, and quality tools.

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