Casting development manager Jobs

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- Full-time
- Azure
- SQL
- Bachelor's degree
Quick apply
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3d
IN_Bosch Rexroth India_Executive / Assistant Manager_Supplier Quality
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OM POWER SYSTEMS —Ulwe, Navi Mumbai, Maharashtra
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Quick apply
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SAN Engineering and Locomotive Company Limited —Bengaluru, Karnataka
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Hariharan Power Engineering —Tiruchchirappalli, Tamil Nadu
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Talent Mappers Consulting India Private Limited —Ghaziabad, Uttar Pradesh
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Final Quality Inspector
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Data Engineer, Data Platform & Integration

Magna International -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
12 days ago

Qualifications

DataStage
SAFe
Azure
Pentaho
Kanban
Relational databases
SAP
Microsoft SQL Server
Quality management
Ab Initio
SQL
Bachelor's degree
UML
REST
Scrum
Talend
Unity
APIs
ETL
Agile
IT
Manufacturing
SSIS
Informatica
Workday
T-SQL
Information Technology

Full job description

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

The Data Engineer role at Magna International will build and orchestrate synchronous and asynchronous data pipelines integrating heterogeneous business systems for both EAI and BI use cases.

Responsibilities of the Data Engineer include:

Builds ETL data pipelines using Talend tool portfolio and SQL code.
Models Database objects to fulfil data pipeline requirements
Designs following integrations:
ETL jobs using incremental load patterns, using technologies like Change Data Capture (CDC) or Change Tracking
Services for APIs using technologies such as REST to be consumed synchronously by client application
Subscription based workflows triggering ETL actions based on events at source system
Embedded mapping and casting of data from heterogenous source and target systems and formats
Responsible for development, testing, documentation and performance of data pipelines, understanding and optimizing impact on source and target systems.
Works closely with:
Business analysts, system owners to gain understanding of business processes and corporate data
Business intelligence developers to ensure that integrations are correct and performing optimally.
Contribute to architectural decisions to support business processes
Provide production support for data solutions
Complete root cause analysis and contribute to remediation planning and implementation
Perform data quality analysis, report data quality issues and propose solutions for data quality management

Skills of the Data Engineer include:

Familiarity with various relational and non-relational database management systems, in particular Microsoft classic and cloud ecosystem
Architectural understanding of data hub oriented integrations as single point of orchestration.
Hands on knowledge in the design of data flows that facilitate data harvesting for automated genealogy documentation in a data catalog
Able to work in various delivery methodologies (Agile – Scrum/SAFe, Waterfall, Kanban, etc.).
Ability to read, interpret, analyze, and communicate effectively verbally and in written form.
Familiarity with UML Sequence diagrams.
Knowledge of data integration patterns across various functions of the enterprise.
Experience with cloud-based solutions preferably on Microsoft stack.
Azure Synapse
Data Factory
Data Lake
Experience implementing and supporting scalable solutions, with a solid understanding of database locking escalation and other concurrency related mechanisms.
Understanding of when and how to use table partitioning and other data insertion, storage and distribution approaches.

Qualifications

Bachelor’s in Information Technology or a related field (experience will be considered in lieu of education requirement)
3+ years of ETL development experience with T-SQL, Talend or other graphical ETL tools (Datastage, SSIS, Informatica, Ab Initio, PowerCenter, IBM InfoSphere, Pentaho,)
SQL development, preferably in multiple database management platforms, and working with normalized relational databases and dimensional data warehouse implementation
Ability to manage multiple projects simultaneously and deliver results in a timely manner. Ability to work independently, under pressure, and adaptable to change.
Manufacturing experience and SAP knowledge are a plus

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Fixed Term (Fixed Term)

Group:

Magna Corporate

Quick apply

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