<p><p><b>Job role:</b> Data :</b> Hyderabad / Pune 3-5 years </p><b><p><br/></p></b><p><b>Joining :</b> Immediate or within 15 Required : 3-5 Years</p><br/>Are you a Python & PySpark expert with hands-on experience in GCP?
Passionate about building scalable, high-performance data pipelines?
Join our fast-paced team and be part of impactful projects in the cloud</p><p><b><br/></b></p><p><b>Data Responsibilities :</b><br/><br/></p><p>- Design, build, and maintain scalable and efficient data pipelines using Python and PySpark<br/><br/></p><p>- Develop and optimize ETL/ELT workflows for large-scale datasets<br/><br/></p><p>- Work extensively with Google Cloud Platform (GCP) services including BigQuery, Dataflow, and Cloud Functions<br/><br/></p><p>- Implement containerized solutions using Docker, and manage code through Git and CI/CD pipelines<br/><br/></p><p>- Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions<br/><br/></p><p>- Monitor, troubleshoot, and improve the performance of data pipelines & Qualifications :</b></p><p><br/></p>- Proficiency in Python, PySpark, and Big Data technologies<br/><br/></p><p>- Strong experience in ETL/ELT, data modeling, distributed computing, and performance tuning<br/><br/></p><p>- Hands-on expertise in GCP and its services<br/><br/></p><p>- Working knowledge of workflow orchestration tools such as Apache Airflow or Cloud Composer<br/><br/></p><p>- GCP certification is a plus<br/><br/></p><p>- Experience with Docker, CI/CD practices, and version control tools like Git</p><br/></p> (ref:hirist.tech)