129 jobs for "Warehouse Manager"

TikTok Shop - Logistics Strategy Manager

At TikTok - Seattle

Posted on Mar 10

View job Apply on company site

TikTok Shop - Logistics Solution Manager

At TikTok - Seattle

Posted on Sep 3

View job Apply on company site

TikTok Shop - Logistics Operations Manager

At TikTok - Paris

Posted on Oct 27

View job Apply on company site

Human Resources Business Partner

At Chewy - Houston

Posted on Nov 5

View job Apply on company site

Logistics Manager

At Leidos - Springfield

Posted on Nov 7

View job Apply on company site

Senior Software Engineer_WMS, Global Converse, ITC

At Nike

Posted on Oct 30

View job Apply on company site

Manager, Data Engineering

At Cargill - Bengaluru

Posted on Nov 5

View job Apply on company site

Site Reliability Engineering Manager

At Apple - Bengaluru

Posted on Oct 19

View job Apply on company site

Manufacturing Operations Manager

At Cummins - Melbourne

Posted on Oct 28

View job Apply on company site

Manager, AI & Data Governance - Data Stewardship Analysis & Enablement

At Mastercard - Bogotá

Posted on Oct 25

View job Apply on company site

APO Logistics Manager

At Apple

Posted on Oct 19

View job Apply on company site

Manager, Production Controller Operations

At Chewy - Houston

Posted on Nov 3

View job Apply on company site

Facilities Technician / CDL Driver

At Cummins - Manassas

Posted on Oct 15

View job Apply on company site

Operations Manager

At Chewy - Jessup

Posted on Nov 2

View job Apply on company site

Staff Software Engineer (Applied AI)

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Driver - Suwanee, GA

At Sonepar USA - Suwanee

Posted on Nov 4

View job Apply on company site

Manufacturing Shop Supervisor

At Mitsubishi Electric Power Products - Melville

Posted on Oct 29

View job Apply on company site

Lead PLS Warehouse Associate - Auburn

At Sonepar USA - Auburn

Posted on Nov 4

View job Apply on company site

Driver - West Palm Beach, FL

At Sonepar USA - W. Palm Bch.

Posted on Nov 2

View job Apply on company site

Logistics Partner Management Analyst II

At Nike

Posted on Oct 7

View job Apply on company site

Cargill

Manager, Data Engineering

Bengaluru, IndiaPosted 4 days ago

Apply on company site View full job

Why you should apply for a job to Cargill:

4.1/5 in overall job satisfaction
4.5/5 in supportive management
71% say women are treated fairly and equally to men
71% would recommend this company to other women
79% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Job Purpose and Impact

The Manager, Data Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, building and maintaining robust data systems that enable data analysis and reporting. This job leads implementing the end to end process to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities

DATA & ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.
DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.
DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
TEAM MANAGEMENT: Manages team members to achieve the organization's goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.

Qualifications

Minimum requirement of 12 years of relevant work experience with a Bachelors degree.
DATA ENGINEERING: Experience with data engineering on corporate finance data is strongly preferred.
CLOUD ENVIRONMENTS: Familiarity with major cloud platforms (AWS, GCP, Azure).
DATA ARCHITECTURE: Experience with modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
DATA INGESTION: Proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet).
DATA STREAMING: Knowledge of streaming architectures and tools (Kafka, Flink).
DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Experience with modeling concepts like SCD and schema evolution.
DATA TRANSFORMATION: Familiarity with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.
PROGRAMMING: Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization.
DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies.
DATA GOVERNANCE: Understanding of data governance principles, including data quality, privacy, and security considerations for data product development and consumption

About Cargill

Cargill provides food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way.

Size: 10,000+ employees
Industry: Natural Resources: Agriculture and Food Processing

View company profile