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Advanced Data Engineer
Honeywell Technology Solutions
posted 16d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Join a team that is elevating our strategy to drive advanced analytics and visualization tools across the Commercial enterprise. In this role, Advanced Data Engineer 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.
Duties and 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.
YOU MUST HAVE
6 or more 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.
Employment Type: Full Time, Permanent
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What people at Honeywell Technology Solutions are saying
Rating based on 1 Data Engineer
review
Anonymous · Production, Manufacturing & Engineering
in Bangalore / Bengaluru
Likes
Work culture is good
- Salary - Excellent+6 more
Dislikes
Nothing , cafeteria
Data Engineer salary at Honeywell Technology Solutions
reported by
19
employees
₹5.2
L/yr - ₹22.4
L/yr
29%
more
than the average Data Engineer Salary in India
View more details
What Honeywell Technology Solutions employees are saying about work life
based on 1.3k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Honeywell Technology Solutions Benefits
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