377 jobs for "Data & Systems Manager"

Manager, Data Engineering

At Cargill - Bengaluru

Posted on Nov 5

View job Apply on company site

Packaging Team Lead

At USA TODAY Co. - Des Moines

Posted on Nov 6

View job Apply on company site

Inventory Coordinator Weekend Shift

At Leidos - Colorado Springs

Posted on Nov 7

View job Apply on company site

OneStream Developer Manager

At Deloitte - Atlanta · Austin

Posted on Nov 5

View job Apply on company site

Data Platform Engineering Manager

At TD Bank - Toronto

Posted on Nov 2

View job Apply on company site

Mutual Fund Analyst French Language

At Infosys - Remote / Flexible

Posted on Nov 6

View job Apply on company site

Staff Software Engineer

At Visa - Austin

Posted on Nov 3

View job Apply on company site

Senior Treasury Staff Manager - Treasury Infrastructure

At GE Vernova - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Senior Manager, Security Reference Data Operations

At Fidelity Investments - Westlake

Posted on Nov 4

View job Apply on company site

Principal Product Manager, Agent Intelligence

At Equinix, Inc - Remote / Flexible

Posted on Nov 4

View job Apply on company site

Product Manager, Healthcare Platforms & Integrations

At Experian - Remote / Flexible

Posted on Nov 2

View job Apply on company site

Program Manager, Trust & Safety

At TikTok

Posted on Nov 3

View job Apply on company site

Fund Servicing Manager - Vice President

At JPMorgan Chase - Taguig City

Posted on Nov 5

View job Apply on company site

Manager, Accounting (Hybrid)

At Capital One - Richmond · McLean

Posted on Nov 8

View job Apply on company site

Senior Software Product Owner (Agile SAFe)

At Leidos - Huntsville

Posted on Nov 7

View job Apply on company site

Data Lifecycle Management (DLM) Specialist (Hybrid) / Spécialiste de la gestion du cycle de vie des données (hybride)

At Morgan Stanley - Montreal

Posted on Nov 5

View job Apply on company site

Software Engineer Principal-Model Platform Support-Python/Slurm/Spark

At PNC - Strongsville

Posted on Nov 6

View job Apply on company site

Programming Specialist

At Labcorp - Bengaluru

Posted on Nov 5

View job Apply on company site

Lead Software Engineer

At NIKE, Inc.

Posted on Nov 5

View job Apply on company site

Supply Chain Manager

At Eaton - Troy

Posted on Nov 4

View job Apply on company site

Cargill

Manager, Data Engineering

Bengaluru, IndiaPosted 3 days ago

Apply on company site View full job

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: Food & Beverage

View company profile