6 + YoE - Data Engineer – Big Data / PySpark - any UST Location - Immediate Joiner

Candidates

ready to join immediately

can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location Preference Act fast for immediate attention! ⏳ 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. Strong 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 and maintain

CI/CD pipelines . Troubleshoot production issues and optimize data processing performance. Collaborate with engineering and business teams to deliver reliable and scalable data solutions. Primary Skill Combination Big Data + Apache Spark + PySpark + Python + Airflow + SQL/MySQL + Cloud (GCP Preferred) + CI/CD Mandatory Focus:

Strong hands-on

Apache Spark performance tuning and optimization

experience.