JR-161735 Data Engineer Middle

Job Responsibilities: • 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 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