Advanced Data Engineer

Key Tasks and Responsibilities

• Connect with business partners and identify opportunities to drive business value via analytics solutions.
• Design and build publication-ready data pipelines using diverse sets of structured and unstructured data.
• Ensure data pipelines are created using credible qualitative and quantitative methodologies based on key insights.
• Perform statistical analysis of complex data sets to better understand trends, relationships between variables, and to formulate business intelligence insights.
• Pays high attention to data accuracy. In depth understanding of data identification, collection, processing, and analysis methodologies.
• Drive continuous improvement and innovation. Work with cross-functional teams effectively
• Actively consult, conduct pre-development workshops, develop POCs, Lead incubation.
• Coach and mentor junior data engineers, leading by example through acting as an individual contributor
• Work with Honeywell businesses and Enterprise IT teams to clearly outline how enterprise platforms can enable business growth & productivity by seamlessly combining structured and unstructured data into a single, self-service analytical environment.
• Leverage knowhow and domain knowledge of Honeywell experts to define, design and develop intelligent solutions to operate on large data sets related to Supply Chain.

Qualifications:

• Bachelor’s in engineering / technology degree or equivalent 
  • Specialized in Computer Science, Software Engineering / Information Technology or related field is preferred
  • Microsoft Fabric Data Engineer Associate / Azure Data Engineer Certification 
  • Architect Certification / Snowflake certification is desirable
  • Azure / Databricks / Scala / Python / and Visualization techniques Certification is preferred 
• 6+ years of Software development with 4+ years of experience working with data engineering.
• 2+ years of experience with cloud/on premises data warehouses and data modeling.
• 2+ years of hands-on experience in creating technical solutions on Cloud - Snowflake EDW / Informatica IICS / HVR as well as design and development on SQL Server is advantageous
• Demonstrated experience in progressively challenging and Responsible roles. Must have experience working in Matrix organization structure.
• Strong experience in Snowflake, including data modeling, performance tuning, query optimization, Snowpipe, Streams/Tasks, User Defined Objects and secure data sharing.
• Strong experience building scalable data pipelines using SQL, Python, and modern ELT/ETL frameworks, with a focus on automation, reliability, and CI/CD integration.
• Deep understanding of cloud platforms (Azure, AWS, or GCP), including storage layers, compute services, networking fundamentals, IAM, and cost optimization.
• Proven ability to design and implement robust data architectures, including batch and streaming patterns, orchestration frameworks, and best practices for data quality, governance, and observability.
• Proficiency with Informatica IICS, including building and orchestrating cloud-native ETL/ELT pipelines, parameterization, and integration with enterprise data platforms.
• Clear and confident communicator, able to articulate vision, technical concepts, and requirements effectively to both technical and non-technical stakeholders.
• Innovative, systems-level thinker with a demonstrated ability to rapidly conceptualize solutions, generate creative ideas, and integrate diverse technologies to solve complex problems.
• Experienced mentor and coach, capable of guiding and developing seasoned technology specialists, fostering technical excellence, and promoting best practices.
• Strong business acumen, with the ability to connect data engineering decisions to business strategy, operational needs, and measurable outcomes.
• Collaborative team player, receptive to feedback, adaptable to evolving priorities, and committed to a positive, high-performance team culture.
• Hands-on experience with Databricks for data processing, Spark-based transformations, and collaborative development in notebook-driven workflows.
• Knowledge in Elasticsearch Kibana, REST APIs.
• Experience with the Version Control, agile and DevOps methodologies
• Developing IoT Connectivity Solutions using Azure event hub/Apache Kafka.
• Exposure to Supply Chain, Manufacturing & Logistics domain.

Experience:

• 6+ years of Software development with 4+ years of experience working with data engineering.
• 2+ years of experience with cloud/on premises data warehouses and data modeling.
• 2+ years of hands-on experience in creating technical solutions on Cloud - Snowflake EDW / Informatica IICS / HVR as well as design and development on SQL Server is advantageous
• Demonstrated experience in progressively challenging and Responsible roles. Must have experience working in Matrix organization structure.

Essential skills:

• Strong experience in Snowflake, including data modeling, performance tuning, query optimization, Snowpipe, Streams/Tasks, User Defined Objects and secure data sharing.
• Strong experience building scalable data pipelines using SQL, Python, and modern ELT/ETL frameworks, with a focus on automation, reliability, and CI/CD integration.
• Deep understanding of cloud platforms (Azure, AWS, or GCP), including storage layers, compute services, networking fundamentals, IAM, and cost optimization.
• Proven ability to design and implement robust data architectures, including batch and streaming patterns, orchestration frameworks, and best practices for data quality, governance, and observability.
• Proficiency with Informatica IICS, including building and orchestrating cloud-native ETL/ELT pipelines, parameterization, and integration with enterprise data platforms.
• Clear and confident communicator, able to articulate vision, technical concepts, and requirements effectively to both technical and non-technical stakeholders.
• Innovative, systems-level thinker with a demonstrated ability to rapidly conceptualize solutions, generate creative ideas, and integrate diverse technologies to solve complex problems.
• Experienced mentor and coach, capable of guiding and developing seasoned technology specialists, fostering technical excellence, and promoting best practices.
• Strong business acumen, with the ability to connect data engineering decisions to business strategy, operational needs, and measurable outcomes.
• Collaborative team player, receptive to feedback, adaptable to evolving priorities, and committed to a positive, high-performance team culture.

Desired skills:

• Hands-on experience with Databricks for data processing, Spark-based transformations, and collaborative development in notebook-driven workflows.
• Knowledge in Elasticsearch Kibana, REST APIs.
• Experience with the Version Control, agile and DevOps methodologies
• Developing IoT Connectivity Solutions using Azure event hub/Apache Kafka.
• Exposure to Supply Chain, Manufacturing & Logistics domain.