Cloud Data Solutions Engineer

3 hours ago

Hubli, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a highly skilled Cloud Data Solutions Engineer with strong expertise in Python development and cloud-based data solutions. The ideal candidate will have a solid background in data migration, API ecosystem development, and modern data warehousing practices.

This role involves building, optimizing, and maintaining scalable data pipelines, ensuring smooth integration across platforms, and enabling advanced analytics and reporting.

The successful candidate will lead end-to-end data migration projects ensuring data integrity, security, and performance. They will also develop and maintain APIs for seamless data access and integration across systems.

Required Skills and Qualifications
  • Python OOP and Development Experience (7+ years): Strong hands-on experience with object-oriented programming, reusable code design, and Python-based data workflows.
  • AWS Data Migration and API Developer Ecosystem (4+ years): Proven experience in cloud data migration, developing APIs, and working with AWS Big Data services (e.g., Glue, EMR, Athena, Redshift) and serverless offerings (e.g., Lambda, Step Functions).
  • SQL Programming (3+ years): Strong SQL skills for data querying, optimization, and transformation.
  • Snowflake (2+ years): Hands-on experience in Snowflake data warehousing, schema design, and performance tuning.
  • DBT (1+ years): Experience in data transformation and modeling using dbt.
Benefits
  • Design, build, and maintain scalable and reliable data pipelines on AWS.
  • Collaborate with data analysts, BI teams, and stakeholders to deliver optimized data models and analytics solutions.
  • Implement dbt models to support data transformation and standardization.
Others
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Strong problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills to work across technical and business teams.

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