Job Details

ID #46108000
State New Jersey
City Easthanover
Job type Permanent
Salary USD TBD TBD
Source Mondelez International
Showed 2022-09-30
Date 2022-09-29
Deadline 2022-11-27
Category Et cetera
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Senior Data Engineer - Cloud Platform

New Jersey, Easthanover, 07936 Easthanover USA

Vacancy expired!

Job Description

Are You Ready to Make It Happen at Mondelz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

How you will contribute

You will:
  • • Technical Expertise: Experience building data pipelines and data centric applications using distributed storage platforms like Google Cloud Platform, HDFS, SAP BW and distributed processing platforms like Hadoop, HDInsight, Spark, Hive, Oozie, Airflow, Talend etc

    • Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms e.g Kafka, Spark, Hadoop, Experience creating and building Big Data Architecture.

    •Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects.

    • Implementation and automation of Internal data extraction from SAP BW / HANA

    • Implementation and automation of External data extraction from openly available internet data sources via APIs

    • Data ingestion via Data Factory activities and store it Azure Data Lake Store

    • Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR

    • Data ingestion and management in Hadoop / Hive

    • Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases

    • Exposing data via Alteryx, SQL Database for consumption in Tableau

    • Data documentation maintenance/update

    • Collaboration and workflow using a version control system (e.g., Git Hub)

    • Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice

    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

    • Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.

    •Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

    • Work with data and analytics experts to strive for greater functionality in our data systems.

    Skills and Experience

    • Deep knowledge in manipulating, processing, and extracting value from datasets;

More about this role

What extra ingredients you will bring:

• + 5 years of experience in data engineering, business intelligence, data science, or related field;

• Proficiency with Programming Languages: SQL, Python, R

• Spark, PySpark, SparkR, SQL for data processing;

• Strong project management skills and ability to plan and prioritize work in a fast-paced environment;

• Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau;

• Ability to think creatively, highly-driven and self-motivated;

• Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs)

'• 8+ years of overall industry experience and minimum of 4- 6 years of experience building and deploying

What you need to know about this position: U.S.-based role, ideally in East Hanover, NJ

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.

Mondelz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contactfor assistance.

For office-based, salaried roles at Bakery and Customer Service & Logistics locations, and some remote roles proof of COVID-19 vaccination is required to be eligible for employment. Religious, medical and/or other accommodations as required by law will be considered on a case by case basis. You may review the Mondelz COVID vaccination policy by visiting the US careers website at https://www.mondelezinternational.com/United-States. This COVID-19 vaccine mandate does not apply to several U.S. states that do not permit certain vaccination mandates, including, but not limited to Alabama, Arizona, Arkansas, Florida, Indiana, Montana, North Dakota, Tennessee, Texas, Utah, and West Virginia.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science

Vacancy expired!

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