Execute large-scale data platform migrations to Snowflake, adapting approximately 1,000 datasets and existing pipelines. Build, test, monitor, and troubleshoot reliable Apache Airflow workflows while supporting migrations from Airflow 2 to 3, Confluent regions, and legacy formats to Iceberg. Apply Python, advanced SQL, Spark, PySpark, Kafka, AWS S3, and Snowflake data modeling to ensure data quality, reliability, and timely delivery.
We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.
The mandatory requirements are 3+ years of Python, advanced SQL, Snowflake data modeling, and hands-on experience with Airflow, Spark/PySpark, and AWS S3.
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.
MUST HAVES
• Strong software engineering fundamentals.
• 3+ years of hands-on Python development experience.
• Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
• Snowflake data modeling.
• Apache Airflow — developing and testing pipelines in Airflow and Python.
• Apache Kafka.
• Apache Spark, including hands-on PySpark experience.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).
• Testing strategy experience, with the ability to hands-on debug and test code.
• At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.
• Overlap until 12 PM Pacific Time.
• Upper-intermediate English level.
NICE TO HAVES
• Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
• Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).
• Experience using AI tools for development.
WHAT YOU WILL DO
• Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
• Execute the migration of approximately 1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
• Ensure data quality and reliability throughout the migration process.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
• Help accelerate the migration initiatives targeted for completion by the end of March 2027.
Similar Jobs
Information Technology
Design end-to-end digital product experiences through user research, interaction design, wireframing, prototyping, visual design, and design systems. Collaborate with product, engineering, and business stakeholders to create accessible, responsive web and mobile interfaces. Conduct usability testing, incorporate feedback and analytics, present design concepts, and support accurate implementation across multiple initiatives.
Top Skills:
A/B TestingAdobe Creative SuiteComponent LibrariesCSSDesign SystemsFigjamFigmaHTMLProduct AnalyticsWcag
Information Technology
Lead the design and development of scalable full-stack applications powered by Generative AI and LLMs. Build RAG pipelines, agentic workflows, and AI applications using React, Node.js, LangChain, and LangGraph. Integrate LLMs with APIs, databases, and enterprise systems while ensuring security, reliability, and production readiness. Provide architecture guidance, conduct code reviews, mentor developers, troubleshoot issues, and lead solutions from design through deployment and support.
Top Skills:
AnthropicAzure OpenaiEmbeddingsGenerative AiJavaScriptLangchainLanggraphLarge Language Models (Llms)MicroservicesNode.jsOpenaiPythonRagReactRest ApisSemantic SearchTypescriptVector Databases
Software • Hospitality
Leads housekeeping staff and oversees cleanliness, maintenance, inspections, inventory, training, guest requests, reporting, and coordination with hotel departments. Ensures public areas and rooms meet hotel standards while supporting guest satisfaction and operational efficiency.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
