53 jobs for "Lead Test Engineer"

Lead Test Engineer

At Leidos - Eagan

Posted on Nov 7

View job Apply on company site

Electrical Engineering Lead (Open to Remote)

At Cargill - Remote / Flexible

Posted on Nov 3

View job Apply on company site

Enterprise Analytics and Modeling - Quantitative Engineering - Lead Associate

At Fannie Mae - Washington · Reston

Posted on Nov 3

View job Apply on company site

Lead Design Engineer

At Cadence Design Systems - Austin

Posted on Nov 7

View job Apply on company site

Lead Design Engineer

At Cadence Design Systems - Seoul

Posted on Nov 3

View job Apply on company site

2027 Early Career - Product Engineer

At Cummins - Chongqing

Posted on Nov 6

View job Apply on company site

First Article Inspection Systems Engineer- Mid Level

At Leidos - Huntsville

Posted on Nov 7

View job Apply on company site

Lead, Software Engineer - Full Stack

At Prudential Financial - Newark

Posted on Nov 3

View job Apply on company site

Manager, Data Engineering

At Cargill - Bengaluru

Posted on Nov 5

View job Apply on company site

Lead, Apparel Product Test Analyst - NikeSKIMS

At Nike - Beaverton

Posted on Nov 7

View job Apply on company site

SF Technology - Software Engineering- Lead Associate

At Fannie Mae - Remote / Flexible

Posted on Nov 4

View job Apply on company site

lead Design Engineer

At Cadence Design Systems - Bangalore

Posted on Nov 3

View job Apply on company site

Senior Technical Product Manager

At Chewy - Boston

Posted on Nov 6

View job Apply on company site

Software Development Engineer Expert

At Equinix - Remote / Flexible

Posted on Nov 6

View job Apply on company site

Lead Software Engineer - Java Spring Boot, Kafka and Event-Driven Architecture

At Mastercard - Pune

Posted on Nov 4

View job Apply on company site

IND Lead Engineer, Data

At The Hartford - Hyderabad

Posted on Nov 6

View job Apply on company site

Cross-functional Engineering Associate - OCU - Technical - 1st Shift

At Cummins - Columbus

Posted on Nov 5

View job Apply on company site

Software Engineer

At Nike - Beaverton

Posted on Nov 3

View job Apply on company site

Senior Systems Engineer - Technical Program Lead

At Leidos - San Diego

Posted on Nov 7

View job Apply on company site

Principal Technical Engineer - Identity Access Management

At Cummins

Posted on Nov 2

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