Candidates ready to join immediately can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location Preference - hidden_email Act fast for immediate attention! Mandatory Skills: Strong hands-on experience in PySpark & GCP (or any other cloud platform). Expertise in designing, implementing, and optimizing data pipelines using Spark, Hadoop, and Hive. Proficiency in SQL for data transformation and querying. Experience in monitoring and troubleshooting data pipelines to ensure minimal downtime and optimal performance. Strong problem-solving skills with the ability to work in a collaborative team environment. Excellent communication skills, both written and verbal. Good-to-Have Skills: Experience working with big data technologies beyond Spark and Hadoop. Knowledge of data governance, data security, and data stewardship practices. Exposure to containerization (Docker, Kubernetes) and CI/CD for data pipelines. Experience with streaming technologies like Kafka.,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Senior Data Engineer PySpark, GCP, Spark,
Contact Details:
Company: UST Location(s): All India Email: hi*********l@