Data Engineer II

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Description

When you join Honeywell you become a member of our global team of thinkers innovators dreamers and doers who make the things that make the future.

That means changing the way we fly fueling jets in an eco-friendly way keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isnt just about developing cool things. Thats why all our employees enjoy access to dynamic career opportunities across different fields and industries. We offer amazing opportunities for career growth with a world-class team of diverse experts.

Are you ready to help us make the future

Join a team that is elevating our strategy to drive advanced analytics and visualization tools across the Commercial this role Data Engineer-II Commercial you will design implement and manage the data architecture systems and processes to effectively collect store process and analyze high volume high dimensional data to provide strategic insight into complex business problems. This will involve creating and maintaining scalable efficient and secure data pipelines data warehouses and data lakes. You need to ensure consistency in data quality and availability for analysis and reporting including compliance with data governance and security standards.

Responsibilities

Work in complex data science and analytics projects in support of the Commercial organization.
Work with product owner to identify the data requirements and design/ maintain/ optimize data pipeline to ingest transform and load structured and unstructured data from various sources into the data warehouse or data lake.
Design and implement data models and schemas to support analytical and reporting requirements.
Collaborate with data scientists and analysts to define and structure data for effective analysis and reporting.
Develop and maintain ETL (Extract Transform Load) processes.
Administer optimize and manage databases data warehouses and data lakes to ensure performance reliability and scalability.
Enforce data governance policies standards and best practices to maintain data quality privacy and security.
Create and maintain comprehensive documentation for data architecture processes and systems.
Troubleshoot and resolve data-related problems and optimize system performance.
Partner with IT support team on production processes continuous improvement and production deployments.

Qualifications

YOU MUST HAVE

4 years of relevant experience in Data Engineering ETL Development Database Administration.
Experience in Azure Databricks CI/CD & Dev Ops Process
Expert in scripting and querying languages such as Python SQL PySpark
Experience with both Structured and Unstructured data
Experience in Snowflake
SFDC business/ technical knowledge
Knowledge of Agile development methodology

WE VALUE

Working with at least one NoSQL system (HBase Cassandra MongoDB)
Knowledge of databases data warehouse platforms (Snowflake) and Cloud based tools.
Experience in using data integration tools for ETL processes.
Knowledge of Data Modelling techniques including schema design for both rational and NoSQL databases
Understanding of Hadoops ecosystem (including HDFS) and Spark for processing and analyzing large-scale datasets.
Demonstrated experience in cutting-edge packages such as SciKit TensorFlow Pytorch GPT PySpark Bit bucket etc.
Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.
Proven mentoring ability to drive results and technical growth in peers.
Effective communication skills (verbal written and presentation) for interacting with customers and peers.
Demonstrated application of statistics statistical modeling and statistical process control.

DescriptionWhen you join Honeywell you become a member of our global team of thinkers innovators dreamers and doers who make the things that make the future.That means changing the way we fly fueling jets in an eco-friendly way keeping buildings smart and safe and even making it possible to breathe ...

Description

When you join Honeywell you become a member of our global team of thinkers innovators dreamers and doers who make the things that make the future.

That means changing the way we fly fueling jets in an eco-friendly way keeping buildings smart and safe and even making it possible to breathe on Mars.

Are you ready to help us make the future

Responsibilities

Work in complex data science and analytics projects in support of the Commercial organization.
Work with product owner to identify the data requirements and design/ maintain/ optimize data pipeline to ingest transform and load structured and unstructured data from various sources into the data warehouse or data lake.
Design and implement data models and schemas to support analytical and reporting requirements.
Collaborate with data scientists and analysts to define and structure data for effective analysis and reporting.
Develop and maintain ETL (Extract Transform Load) processes.
Administer optimize and manage databases data warehouses and data lakes to ensure performance reliability and scalability.
Enforce data governance policies standards and best practices to maintain data quality privacy and security.
Create and maintain comprehensive documentation for data architecture processes and systems.
Troubleshoot and resolve data-related problems and optimize system performance.
Partner with IT support team on production processes continuous improvement and production deployments.

Qualifications

YOU MUST HAVE

4 years of relevant experience in Data Engineering ETL Development Database Administration.
Experience in Azure Databricks CI/CD & Dev Ops Process
Expert in scripting and querying languages such as Python SQL PySpark
Experience with both Structured and Unstructured data
Experience in Snowflake
SFDC business/ technical knowledge
Knowledge of Agile development methodology

WE VALUE

Working with at least one NoSQL system (HBase Cassandra MongoDB)
Knowledge of databases data warehouse platforms (Snowflake) and Cloud based tools.
Experience in using data integration tools for ETL processes.
Knowledge of Data Modelling techniques including schema design for both rational and NoSQL databases
Understanding of Hadoops ecosystem (including HDFS) and Spark for processing and analyzing large-scale datasets.
Demonstrated experience in cutting-edge packages such as SciKit TensorFlow Pytorch GPT PySpark Bit bucket etc.
Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.
Proven mentoring ability to drive results and technical growth in peers.
Effective communication skills (verbal written and presentation) for interacting with customers and peers.
Demonstrated application of statistics statistical modeling and statistical process control.

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

Apply Now

About Company

Honeywell

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability ... View more

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