Data Engineer
Noida, Uttar Pradesh, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Google Cloud (GCP)
- Snowflake
- Spark
Source — Tool mentions in context
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.
- 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.
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 2026 · 8d ago
- Recorded sightings
- 53
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
- Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions.
- Participate in architecture discussions, proof-of-concepts, and process improvement initiatives.
- Document data flows, technical designs, and implementation details to support operational excellence and knowledge sharing.
- Ensure adherence to data quality, security, and governance standards across data platforms.
- 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.
- 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.
- Strong analytical and problem-solving skills with a passion for learning modern data engineering technologies.
- Excellent communication and collaboration skills.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.