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Job description
We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.
The mandatory requirements are 5+ years of hands-on experience with Databricks and PySpark, advanced SQL, GCP, Delta Lake, modern lakehouse architectures, and an upper-intermediate English level.
RECRUITMENT PROCESS 1. Application — Share a few details about your experience and background. 2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with. 3. Video Interview — Record a short video introduction in English. 4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role. 5. Offer — If it’s a match, you’ll receive an offer.
WHAT YOU’LL GAIN • Remote work — Work from where you feel most productive. • Local presence in India — Work in a structured and compliant environment aligned with Indian regulations. • Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness. • Exciting projects — Work with modern technologies for global clients and fast-growing companies.
WHAT YOU WILL DO • Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. • Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution. • Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments. • Develop data pipelines and reusable frameworks and components to support new business requirements and datasets across multiple use cases. • Implement data quality checks, monitoring, validation, exception handling, and production controls. • Optimize PySpark and SQL workloads for performance, reliability, and scalability. • Support testing, deployment, productionization, troubleshooting, and ongoing enhancement of data and agentic solutions. • Collaborate with business, data engineering, and platform teams to identify further automation opportunities.
MUST HAVES • 5+ years of strong hands-on experience with Databricks and PySpark . • Advanced SQL and data-processing skills. • Hands-on experience with GCP , particularly BigQuery . • Experience with Delta Lake and modern data lake/lakehouse architectures. • Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality. • Experience building reliable, scalable, production-grade data solutions. • Strong analytical and troubleshooting skills. • Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support. • Upper-intermediate English level.
NICE TO HAVES • Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions. • Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes. • Familiarity with orchestration and automation frameworks. • Experience developing reusable data engineering frameworks and platform components. • Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight.
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?
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Data Engineer
Gurgaon, Jaipur, Mumbai, Pune, Depalpur, Chennai, Kochi, Kolkata
1
Contract
5+ years
₹11L – ₹25L a year (estimate, typical for IT Jobs in India, 839 posts)
