Google BigQuery

INTERESTED CAN DROP CV FOR 734 885 9771

Project Role : Data Engineer

Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes.
Project Role :Analytics and ModelorProject Role Description :Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making.Must have Skills : Google BigQuery, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Data Proc, Pub,Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX)1:Proven track record of delivering data integration, data warehousing soln2: Strong SQL And Hands-on (No FLEX)2:Exp with data integration and migration projects3:Proficient in BigQuery SQL language (No FLEX)4:understanding on cloud native services : bucket storage, GBQ, cloud function, pub sub, composer, and KubernetesExp in cloud solutions, mainly data platform services , GCP Certifications5: Exp in Shell Scripting, Python (NO FLEX), Oracle, SQLTechnical Experience :1: Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred2: Strong hands-on experience with building solutions using cloud native services: bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes etc. (NO FLEX)3: Proficiency with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline4: Open mindset, ability to quickly adapt new technologies5: Performance tuning of BigQuery SQL scripts