Big Data Lead - Snowflakes

Key Skills

Analytical and Problem solving, Apache Airflow, Apache Kafka, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Databricks, Java Programming, Python Programming, SDLC, SPARK Programming, SQL

Job Description

The Role Offers:

• Great opportunities to learn various tools and technologies used in a sophisticated data architecture within the Business Intelligence and Analytics Data services
• Gives an opportunity to showcase candidates’ strong analytical skills and problem-solving abilities
• An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations
• Grow into a Technical Architect role over a period

Essential Skills:

• 9+ years of experience in application development team with hands on architecting, designing, developing and deployment skillsets
• Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS
• Experience in event driven architectures, message hub, MQ, Kafka
• Experience in Kubernetes, ETL tools, Data as a Service, Star Schema, Dimension modelling, OLTP, ACID and data structures is desired
• Proven Experience with Cloud and Big data platforms, building data processing application utilizing Spark, Airflow, Object storage etc.
• Ability to work in an on-shore/off-shore model working with development teams across continents
• Use coding standard, secured application development, documentation, release and configuration management and expertise in CI/CD
• Must be well versed in SDLC using Agile Scrum
• Ability to plan and execute the deployment of releases
• Ability to work with Application Development, SQA, and Infrastructure teams
• Proven analytical and problem-solving skills along with the ability to learn and adapt quickly
• Self-motivated, quick learner, creative problem solver, organized, and responsible for managing a team of development engineers
• Good experience in delivering large scale projects in financial industry

Essential Qualifications:

• BE/Btech in Computer Science, Engineering or relevant field