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fa-ewjt-saasfaprod1-cx2

Data Engineer

Noida · Mid Level

Good timing - competition is buildingVerified listingPosted 8d ago

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Skills required

9 listed

Apache SparkDatabricksSnowflake (Data Warehouse)Python (Programming Language)SQL (Programming Language)Extract Transform Load (ETL)Microsoft AzureAmazon Web Services+1 more

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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.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsApp Join Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.