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Data Engineer at Weekday. Location Information: India - Remote. . This role is for one of the Weekday's clients. Min Experience: 3 years. JobType: full-time. We are looking for a highly skilled Data Engineer with expertise in cloud-based data platforms and automation of data workflows. The ideal candidate will have a strong background in data engineering tools and frameworks and a proven ability to develop scalable, reusable . ETL. /ELT solutions in a cloud environment.. Requirements. Required Skills & Qualifications:. . Proven hands-on experience with . Google BigQuery. , . Apache Airflow. , and . Cloud Storage. (GCS/S3). . . Solid understanding of . ETL/ELT processes. , data partitioning strategies, and pipeline scheduling. . . Demonstrated ability to . automate complex workflows. and develop reusable pipeline frameworks. . . Proficient in . Python. , . SQL. , and scripting for automation tasks. . . Experience building . web APIs or applications using Python. . . . Familiarity with cloud platforms such as . GCP. or . AWS. , and knowledge of . distributed computing frameworks. . . . Strong problem-solving and analytical skills with a keen eye for debugging and optimization. . . Basic understanding of . object-oriented programming fundamentals. . . . Experience using . version control systems. like GitLab or Bitbucket. . . Industry Knowledge & Experience:. . Deep expertise in . Google BigQuery. , . Apache Airflow. , . Python. , and . SQL. . . . Hands-on experience with . BI tools. such as . DOMO. , . Looker. , or . Tableau. . . . Familiarity with . Salesforce. data models and extraction techniques. . . Experience with . data encryption. , . SFTP automation. , and handling . ad-hoc data requests. . . . Skills:. GCP | BigQuery | ETL/ELT | Python | Airflow | SQL | Cloud Storage | API Development | BI Tools | Salesforce | Data Automation. .