2,559 jobs for "Lead Systems Engineer"

Chief Engineer

At Capital Group - Los Angeles · Charlotte

Posted on Oct 28

View job Apply on company site

Lead, Application Support Engineer | PGIM Ireland

At Prudential Financial - Letterkenny

Posted on Nov 4

View job Apply on company site

Senior Software Engineer

At Toyota North America - Plano

Posted on Oct 31

View job Apply on company site

Cleared Senior/Principal RD Systems Engineer - Mobile Guardian Transporter Quality, Hybrid

At Sandia National Laboratories

Posted on Nov 5

View job Apply on company site

Senior Manager, Data Science and Machine Learning

At Squarespace - New York City

Posted on Oct 14

View job Apply on company site

Principal Engineer I - Principal Data Platform Engineer

At Spectrum - Greenwood Village

Posted on Nov 5

View job Apply on company site

IND Lead Software Engineer

At The Hartford - Hyderabad

Posted on Nov 5

View job Apply on company site

Manager, Software Development Engineer

At Equinix - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Senior Systems Engineer - Deputy Project Manager

At Leidos - San Diego

Posted on Nov 7

View job Apply on company site

Lead Software Engineer, Global Converse, ITC

At Nike

Posted on Nov 2

View job Apply on company site

Manager, Data Engineering

At Cargill - Bengaluru

Posted on Nov 5

View job Apply on company site

Asset Care Manager

At Diageo - Plainfield

Posted on Nov 2

View job Apply on company site

Staff Engineer - Mobile Payments & Terminal Experiences

At Adyen - Chicago

Posted on Nov 5

View job Apply on company site

ETS Principal Solution Engineer-Cloud Core & Accounting Platforms

At Navy Federal Credit Union - Vienna

Posted on Nov 4

View job Apply on company site

Software Engineer Lead-Application Support/Payment Processing

At PNC Financial Services Group - Birmingham

Posted on Nov 8

View job Apply on company site

Audio Engineer

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Lead Platform Engineer (Java,Python) - Vice President

At BlackRock - New York

Posted on Oct 16

View job Apply on company site

Innovation Engineer, Technical Strategy

At Northwestern Mutual – Corporate Careers - New York

Posted on Nov 5

View job Apply on company site

Product Design / Product Engineer/ Specialist

At Cummins - Pune

Posted on Oct 15

View job Apply on company site

Sr. Business Systems Analyst

At TD Bank - Toronto

Posted on Nov 6

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