TE Connectivity
4 weeks ago
About the job :
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview :
- Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.
- Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization.
- Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team.
- Contributes to the team's development velocity, if necessary.
- Understands how an organization's data platform integrates within the overall technical architecture.
- Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems.
- Sets the direction and establishes the approach for integrating information applications and programs.
Roles & Responsibilities :
- As an Azure Data Engineer, you will be responsible for designing, building, and maintaining data pipelines to support business and analytics needs.
- You will work closely with data analysts and business stakeholders to understand their needs and develop solutions to meet those needs.
- 4+ Years of Experience in Azure with Data Engineering.
- 4+ Hands on experience in Azure technologies such as Azure Data Factory, Azure Databricks and Azure Synapse Analytics, Azure Data Lake
- Design, develop, manage data flows that integrate information from various sources into a common data lake using Microsoft Azure data Factory.
- Extract, transform and load data from variety of sources, including on-premises databases, cloud-based data stores and API calls.
- 4+ years of working with SQL, implement data processing and transformation logic using SQL, handling complex windowing functions and joins.
- Optimize and tune data pipelines for performance, scalability, and cost-efficiency, leveraging best practices and automation tools.
- Ensure data quality, integrity, and security throughout the data lifecycle, implementing data governance policies and compliance standards.
- Collaborate with data analysts and business stakeholders to understand their data needs and develop data models and solutions to meet those needs.
- Monitor and troubleshoot data pipelines, identifying and resolving issues in a timely manner to minimize impact on business operations.
- Competencies And Experience Required/Desired
Any Degree :
- Proven experience as a data engineer, with a focus on designing and building data solutions on Azure.
- Knowledge of Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Datawarehouse, and Azure Data Lake Storage.
- Strong proficiency in SQL.
- Experience with data modeling, schema design, and performance optimization techniques.
- Familiarity with data integration patterns, ETL/ELT processes, and data warehousing concepts.
- Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data issues and drive resolution.
- Effective communication and collaboration skills, with the ability to work effectively in a remote and cross-functional team environment.
To summarize : Experience working on ETL, Microsoft Azure SQL Data Warehouse, SQL Scripting, with exposure to other services on the Azure landscape, API Data Extraction
Values : Integrity, Accountability, Inclusion, Innovation, Teamwork
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