Manager GCP Data Engineer

Data Engineering is responsible for building required infrastructure for optimal extraction, transformation and loading of data from various data sources. The role also includes tasks related to building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics and leveraging software development life cycle best practices such as agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. Role also demands technical design, solution architecture, team planning and stakeholder management.

Desired Skills and Experience (Must Have):

• Relevant work experience of 10+ years.
• Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS, Big Table, Data Fusion, Firestore
• Proficient hands-on programming experience in SQL, Python and Spark/PySpark
• Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption
• Data Engineering knowledge (such as Data Lake, Data warehouse, Integration, Migration) 
• Excellent communicator (written and verbal formal and informal)
• Experience in leading large scale projects for solution delivery, solution architecture, team planning, stakeholder management along with leading project delivery.
• Experience using software version control tools (Git/Bitbucket/code commit).
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Ability to multi-task under pressure and work independently with minimal supervision.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.

Desired Skills and Experience (Good to Have):

• GCP Certification preferred.
• Additional Cloud experience in AWS or Azure preferred.

Qualification

• Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)

Desired Skills and Experience (Must Have):

• Relevant work experience of 10+ years.
• Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS, Big Table, Data Fusion, Firestore
• Proficient hands-on programming experience in SQL, Python and Spark/PySpark
• Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption
• Data Engineering knowledge (such as Data Lake, Data warehouse, Integration, Migration) 
• Excellent communicator (written and verbal formal and informal)
• Experience in leading large scale projects for solution delivery, solution architecture, team planning, stakeholder management along with leading project delivery.
• Experience using software version control tools (Git/Bitbucket/code commit).
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Ability to multi-task under pressure and work independently with minimal supervision.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.

Desired Skills and Experience (Good to Have):

• GCP Certification preferred.
• Additional Cloud experience in AWS or Azure preferred.

Qualification

• Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)