EPAM Systems
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Hyderabad · On-site · 1-3 Yrs · Oct 20
Information Technology Support Services · 10000+ Employees · Newtown, US
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-Native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners, and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. In India, EPAM has grown rapidly to 12,000+ EPAMers across six locations in major cities: Hyderabad, Pune, Bangalore, Gurgaon, Chennai and Coimbatore. Learn more at: https://welcome.epam.in/
Hiring: Engineering
What employees say
+ Epam is very Good company
− No such cons to mention
More reviews on the company profile.
Interview experience · Java Software Engineer
Screening round focused on coding: 1. Merge two sorted arrays without streams or built-in functions, 2. followed by a Java Stream API-based problem to convert a given String into another string.
Easy difficulty · India · 1,167 reports
More interview insightsJob description
Overview
Data Engineer (Spark, Python, AWS/GCP, Databricks)
Responsibilities
- Develop scalable data pipelines using Spark and Python.
- Design and implement cloud-based data solutions on AWS or GCP.
- Build, optimize, and maintain ETL processes.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- Ensure data quality, performance, and reliability across platforms.
Qualifications
- Location: Hyderabad
- Strong experience in Python, PySpark, SQL
- Hands-on experience with AWS + Databricks OR GCP + Databricks
- Experience in building and maintaining ETL/ELT pipelines
- Good understanding of Data Warehousing and Big Data concepts
- Experience with Spark performance tuning and optimization
- Hands-on experience with Delta Lake, Databricks Workflows, Notebooks, Jobs, and Unity Catalog
- Experience with cloud services such as:
- AWS: S3, EMR, Glue, Athena
- GCP: GCS, Dataproc, BigQuery, Dataflow
- Experience working with relational and NoSQL databases
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Data Engineer (Spark, Python, AWS/GCP, Databricks) at EPAM Systems?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. EPAM Systems may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Spark, Python, AWS/GCP, Databricks) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (Spark, Python, AWS/GCP, Databricks) remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Spark, Python, AWS/GCP, Databricks) role at EPAM Systems?
- This is a mid-level Data Engineer (Spark, Python, AWS/GCP, Databricks) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.