Data Engineer Sênior
Jobgether
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This role on the market
7,296 open data roles across 659 companies are on ApplySarthi right now, most of them in Bengaluru (415), Hyderabad (313), Mumbai (155).
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What data roles keep asking for: AWS (24%), SQL (23%), Python (22%) — counted across their open postings here.
Airflow jobs · GCP jobs · Python jobs · dbt jobs
Jobgether has 3,935 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Git? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Data Engineer Sênior at Jobgether interview free →Accountabilities:: Design and implement data pipelines that extract, process, standardize, store, and distribute data efficiently. Apply established data architecture and governance principles throughout the data engineering lifecycle. Develop and maintain data processing solutions using Google Cloud services such as Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler. Build and maintain data transformation workflows using Dataform and dbt. Develop data engineering applications and automation using Python. Orchestrate data workflows and pipelines using Apache Airflow. Apply version control and collaborative development practices using Git. Support the automation and optimization of data processing and engineering workflows. Contribute to the reliability, scalability, maintainability, and quality of modern data solutions. Collaborate with technical teams to continuously improve data engineering practices and deliver solutions aligned with business needs. Requirements: Strong professional experience in data engineering and building data pipelines. Hands-on experience with Google Cloud services, particularly Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler. Solid experience with data transformation and modeling tools such as Dataform and dbt. Strong knowledge of Apache Airflow for workflow orchestration. Proficiency in Python for data engineering and automation. Experience using Git for version control and collaborative software development. Understanding of data architecture, governance, and engineering principles. Ability to work with modern cloud-based data processing environments and automation practices. Strong analytical and problem-solving skills with attention to data quality and reliability. Ability to collaborate effectively with technical teams and contribute to complex digital transformation initiatives. Proactive mindset, ownership, and commitment to continuous learning and technical improvement. Benefits: 100% remote work. Meal voucher. Food allowance. Home office allowance. Medical insurance. Dental insurance. Life insurance. Birthday day off. TotalPass / Wellhub membership. Access to the Boon Saúde app. Discounts and partnerships with businesses and educational institutions. Welcome kit. Structured onboarding program. Access to learning and professional development initiatives. Dedicated work-life balance and well-being initiatives. Opportunities to participate in knowledge-sharing and continuous learning activities. Collaborative environment focused on innovation, technology, and professional growth.
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Listed on lever · posted 2026-09-21. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.