Noida, Uttar Pradesh, India
Live, first seen by us 16 days agoWork setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms.
This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.
Build and maintain scalable data pipelines and workflows with senior engineers
Develop ETL/ELT processes using Databricks, Spark, Python, and SQL
Design data ingestion frameworks for structured and unstructured sources
Build data models, data marts, and analytical datasets in Snowflake
Monitor and improve pipeline performance, reliability and scalability
As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization.
This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.
Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows.
Develop ETL/ELT processes using Databricks, Spark, Python, and SQL.
Design and implement data ingestion frameworks for structured and unstructured data sources.
Build and maintain data models, data marts, and analytical datasets in Snowflake.
Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms through academic projects, internships, certifications, hackathons, or personal projects.
Excellent communication and collaboration skills.
Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. - Strong foundation in SQL and database concepts.
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As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization. This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems. Responsibilities
- Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows. - Develop ETL/ELT processes using Databricks, Spark, Python, and SQL. - Design and implement data ingestion frameworks for structured and unstructured data sources.
- Strong foundation in SQL and database concepts. - Good programming skills in Python or a similar language. - Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. - Strong foundation in SQL and database concepts. - Good programming skills in Python or a similar language.
- Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms through academic projects, internships, certifications, hackathons, or personal projects. - Basic knowledge of cloud platforms such as Azure, AWS, or GCP is a plus. - Strong analytical and problem-solving skills with a passion for learning modern data engineering technologies.
Role Overview: As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization. This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling. - Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms through academic projects, internships, certifications, hackathons, or personal projects. - Basic knowledge of cloud platforms such as Azure, AWS, or GCP is a plus.
- Design and implement data ingestion frameworks for structured and unstructured data sources. - Build and maintain data models, data marts, and analytical datasets in Snowflake. - Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Yes. We’ve followed 16 other Data Engineer jobs there since August 2026. 6 came down, usually after about 7 days. 10 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Role Overview:
As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization.
This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.
Responsibilities
Qualifications
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Noida, Uttar Pradesh, India
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