Braintree Lead Data Engineer

Position: Lead Data Engineer with extensive experience in building data integration pipelines in CI/CD model.

Genuine and Quality profiles with Less Experience may also be considered.

All VISA Types including Student VISAS are Welcome to Apply.

Visa Sponsorship for Qualified Candidates.

Experience: 15 years (Lead experience 5 yrs.)

• Ability to design and develop a high performance data pipeline framework from scratch
• Data ingestion across systems
• Data quality and curation
• Data transformation and efficient data storage
• Data reconciliation, monitoring and controls
• Support reporting model and other downstream application needs

• Provide technical leadership and contribute to the definition, development, integration, test, documentation and support across multiple platforms (Google Cloud Platform, Python, HANA)
• Establish a consistent project management framework and develop processes to deliver high quality software, in rapid iterations, for the business partners in multiple geographies
• Skill in technical design documentation, data modeling and performance tuning applications
• Lead and manage a team of data engineers, contribute towards code reviews, and guide the team in designing and developing convoluted data pipelines adhering to the defined standards.
• Be hands on, performs POCs on the open source/licensed tools in the market and share recommendations.
• Skill in the following platform, tools and technologies
• Google Cloud Platform cloud platform GCS, Big Query, Streaming (pub/sub), data proc and data flow, NIFI
• Python, PYSpark, Kafka, SQL, shell scripting & Stored procs
• Data warehouse, distributed data platforms and data lake
• Database definition, schema design, Looker Views, Models
• CI/CD pipeline

• Proven track record in scripting code in Python, PySpark and SQL

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