• Design, implement, and support a data solution in the AWS cloud
• Develop scalable data pipelines (using AWS native services) that meet data integration, ingestion, and processing requirements and common patterns
• Maintain and develop data quality, ensuring consistency and integrity across multiple sources
• Maintain and develop DBT models for data processing and business transformations
• Optimize S3 storage, ETL pipelines, and DBT models for performance enhancements, query tuning, and efficient data partition management
• Orchestrate existing pipelines and develop new ones with AWS Step Functions, automate pipeline monitoring
• Collaborate with multiple Dev and BA teams to solve complex data challenges, align on integration and processing patterns, and business result expectations
• Must have Skill set: DBT, Databricks, SQL, Python, AWS

Locations:

• Bangalore- India

Requirements:

• 3+ years of hands-on experience in data engineering: Datalake, Lakehouse, DWH
• Minimum 1 year of experience developing data solutions in AWS
• Real production experience working with AWS services: Step Function, Lambda, Glue Jobs / Catalog, Redshift (Spectrum), Athena
• Experience implementing processing and transformations with DBT: incremental strategies, macros, tests
• Proficiency in Python (PySpark, Pandas), SQL, Jinja

Will be a plus:

• Databricks experience/certifications

Other skills:

• English – upper intermediate
• Good communication skills (both verbal and written)
• Ability to work in a global, multi-cultural, and multi-national company
• Ability to lead conversations with both technical and business representatives
• Proven ability to work both independently and as a part of an international project team
• Work in the CET time zone

What We Offer:

• Competitive salary;
• 100% remote opportunity;
• Opportunities for professional growth and advancement;
• A collaborative and innovative work environment;
• Support for participation in professional development opportunities (webinars, conferences, trainings, etc.);
• Benefits may vary depending on your location and position. Full details will be provided during the interview process.

Job ID: JR-161735