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Fecha:  15-ene-2022
ID de solicitud de trabajo:  4976
Categoría:  Insights & Analytics
País/región:  MX
Estado:  Quer
Población:  QUERÉTARO

Título:  Software Solutions Manager

Descripción: 

Grow with us as a Software Solutions Lead, in this position you will This role is responsible for supporting the delivery of applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.

WHAT WILL I BE DOING?


In this role, you will be part of our success by:

 

To manage multiple projects with data pipelines built on various data sources with a team of inhouse data engineers and vendors.

• Play Data architect role and design solution frameworks to translate business requirements to scalable data models and solutions.

• Build & support data ingestion and processing pipelines. This will entail extract, load and transform of data from a wide variety of sources using latest data frameworks and technologies

• Design, build, test, and maintain machine learning infrastructure and frameworks to empower data scientists to rapidly iterate on model development

• Own and lead vendor engagement and communication on technical projects. Define project scopes and track project progress and delivery.

• Lead team capability building and recruitment. Foster inter and intra team collaboration between members.

• Coach and mentor other team members. Play a role in their development and retention.

 

WHAT DO I NEED TO DEMONSTRATE?

Minimum 6 years of overall experience in data engineering and 2+ years leading a team as Manager and doing project and people management (performance appraisals, career development) for the engineers in the team.

• Experience working with a global team and remote teams and vendors. (English).

• Hands on experience in building data pipelines on various infrastructures especially AWS cloud.

• Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines will be a plus.

• Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts.

• Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.

• Experience with setting up and maintaining Datalakes/Datawarehouse (Google BigQuery, Redshift, Snowflake,GCS, AWS S3 etc.) for an organization

• Experience in building data pipeline with AWS Glue, Airflow or any other such tool.

• Experience with relational SQL and NoSQL databases.

• Strong problem solving and communication skills. 

 

GROWTH competencies

 

• Strategic Mindset: Creates strategies that leverage competitive advantages and emerging trends. Leads the team to pursue possibilities that will create sustainable value

• Drives Engagement: Creates and environment where people are engaged to do their best for the organization and deliver our objectives

• Courage: Follows convictions in the face of adversity. Takes on the unknown. Raises difficult issues to ensure that they are addressed. Offers ideas or opinions without fear of criticism or professional risk

• Drives Results: Demonstrates a strong drive to achieve meaningful results. Drives tasks to successful completion and closure. Shows determination in the face of obstacles and setbacks

• Nimble Learning: demonstrates insight; intellectually curious and understands Kellogg, applies new concepts and principles to address problems. Shares lessons learned from both successes and failures

 

 

Kellogg Company is an Equal Opportunity Employer who strives to provide an inclusive work environment that involves everyone and embraces the diverse talent of its people.

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