Data Engineer II Job in Bangalore at Honeywell

Honeywell is hiring for the role of Data Engineer II!

Responsibilities of the Candidate:

• Be part of a team that delivers contemporary analytics solutions for the Information Management & Analytics function at Honeywell
• Build strong relationships with leadership to effectively deliver contemporary data analytics solutions and contribute directly to business success
• Develop solutions on data warehouse systems eco-system viz. Snowflake, IICS, Airflow etc.
• Identify and implement process improvements and if you don’t like to do the same thing twice, you will automate where possible
• Keep an eye on scalability, optimization, and process
• Work on a team including scrum masters, product owners, data architects, peer data engineers/analysts, data scientists, and DevOps
• Collaborate to build products from the idea phase through launch and beyond
• Work on creating a new platform using your experience with APIs, microservices, and platform development

Requirements:

• Bachelor’s degree in Computer Science Engineering
• 2-5 years of total experience
• Have 1-2 years of data engineering experience in any data warehousing platform
• Preferably Snowflake data platform and IICS (Informatica Intelligent Cloud Services)
• Expert data warehousing concepts.
• Expert in SQL
• Expert in ETL
• Python programming experience.
• Experience in developing end-to-end data pipelines i.e., Ingestion, transformation, storage
• Experience in leading data engineers to provide best practices in implementing end-to-end pipelines
• Have developed and deployed complex big data ingestion jobs in IICS (or other ELT tool) bringing prototypes to production on Snowflake (or any data warehouse platform)
• Experience in building advanced analytics solutions with data from enterprise systems like ERPs, CRMs, Marketing tools etc.
• Have worked in the Snowflake data platform in designing/implementing the data models and SQL-based transformations
• Experience in developing and building applications to process very large amounts of data (structured and unstructured), including streaming real-time data
• Experience in writing complex SQL statements and debugging/improving the performance of SQL statements using query profilers
• Experience in working with cloud-based deployments. Understanding of containers (Docker) & container orchestration (Swarm or Kubernetes)
• Good understanding of branching, build, deployment, and CI/CD methodologies such as Octopus and Bamboo