GCP Data Engineer

Company Website

• Position: GCP Data Engineer
• Experience: 4 to 10 years
• Location: Chennai.
• Number of open positions: 02

Mandatory Tech Stack: GCP certified Data Engineer, Python and Good at data flow, data pipelines etc

Job Details

Bachelor degree in Computer Science, Mathematics or a related technical field or equivalent practical experience.

Certifications: Minimum: Google Professional Cloud Professional

• Preferred: Google Professional Data Engineer,AWS Big Data Specialty Certification
• 3+ years direct experience working in Enterprise Data Warehouse technologies.
• 3+ years in a customer facing role working with enterprise clients.
• Experience with implementing and/or maintaining technical solutions in virtualized environments.
• Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.
• Experience with developing software code in one or more languages such as Java, Python and SQL.
• Strong knowledge of GCP services such as Cloud Storage, Big Query, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Airflow, DAG etc.
• Proficiency in SQL and experience with Data Modeling and Optimization.
• Experience with data integration and ETL processes.
• Familiarity with programming languages such as Python.
• Understanding of data security and compliance requirements.
• Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.
• Monitor data pipelines and processes for data quality issues.
• Troubleshoot and resolve data-related problems in a timely manner.
• Perform regular data backups and implement disaster recovery procedures.
• Collaboration and Documentation: Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.
• Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.
• Demonstrated excellent communication, presentation, and problem solving skills.

Note: This job description is intended to outline the general nature and level of work performed by employees within this role. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Other duties may be assigned based on business needs and the employees abilities.

Skills: netezza,qlik,dataflow,dataproc,java,hbase,oracle,redis,teradata,dag,mysql,airflow,cassandra,mongodb,postgresql,tableau,microstrategy,python,hadoop,pub/sub,sql,spark,vertica,customer facing,cloud storage,cloud composer,etl processes,data backups,big query,data security,data modeling,data integration,service discovery,data warehouses,enterprise data warehouse,resolve data-related problems,disaster recovery procedures,data quality issues,customer facing migration,ms sql server,developing software code,google professional data engineer,google professional cloud professional,implementing and/or maintaining technical solutions