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Must-Have Skills
6+ years

of overall experience in Data Engineering / Big Data.
Strong understanding of

Big Data concepts and architecture .
Strong hands-on experience with

Apache Spark .
Expertise in:
Spark Performance Tuning
Spark Optimization
Query/Job Performance Improvement
Troubleshooting Spark workloads
Strong hands-on experience with

PySpark and Spark .
Strong programming experience in

Python .
Good experience working with

MySQL / SQL .
Strong experience in designing and developing

Data Pipelines .
Hands-on experience with

Apache Airflow

for data pipeline orchestration and scheduling.
Experience working with at least one

Cloud Platform .
GCP experience is preferred.
Good understanding of

CI/CD and DevOps concepts .
Experience integrating data engineering workloads with CI/CD pipelines.
Robust debugging, troubleshooting, and problem-solving skills.




Preferred Skills
Hands-on exposure to relevant

GCP data services .
Experience handling large-scale and high-volume datasets.
Understanding of distributed data processing and data architecture.
Experience improving the scalability, reliability, and performance of data pipelines.
Exposure to Agile development and DevOps practices.
Key Responsibilities
Design, develop, and maintain scalable

Big Data and Data Engineering solutions .
Develop data processing applications using

Python, PySpark, and Apache Spark .
Perform

Spark performance tuning and optimization

for large-scale workloads.
Build, maintain, and monitor robust

ETL/ELT data pipelines .
Develop and manage workflow orchestration using

Apache Airflow .
Work with

MySQL/SQL

for data extraction, transformation, and validation.
Deploy and support data engineering solutions in cloud environments, preferably

GCP .
Work with DevOps teams to implement

📌 6 + YoE - Data Engineer – Big Data / PySpark - any UST Location - Immediate Joiner (Bengaluru)
🏢 UST
📍 Bengaluru