Private Jobs

Colgate-Palmolive Recruitment for Data Engineer II Job Posts

Colgate-Palmolive private company recruitment for Data Engineer II Job Posts. The location for this job opening at Mumbai, Maharashtra. The educational qualification for this job opening is candidates having Bachelor’s degree. The website link for notifications and how to apply Colgate-Palmolive Jobs is given at the bottom of this page.

COLGATE-PALMOLIVE Job Recruitment Details:

Org Name Colgate-Palmolive
Qualification Bachelor’s degree
Job Location Mumbai, Maharashtra
Name of the Post Data Engineer II
Selection Process Interview

About Colgate-Palmolive:

These Colgate-Palmolive company have many vacancies in the place of Mumbai, Maharashtra. So try to apply immediately. Bachelor’s degree based on the jobs given from this company. Colgate-Palmolive private company select the perfect candidates through interview. Please share this Data Engineer II jobs in Mumbai, Maharashtra to all social media’s. It will useful for those who are need jobs in Colgate-Palmolive pvt company.

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Name of the Post:

Data Engineer II job Posts


Bachelor’s degree

Qualification & Competencies:

Bachelor’s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is preferred

Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Strong analytic skills related to working with unstructured datasets.

Strong problem solving skills with an emphasis on product development.

Strong experience with test driven development methodologies.

Strong oral & written communication skills with an ability to express complex technical concepts in business terms and business needs in technical specifications

A drive to learn and master new technologies and techniques.


We are looking for a candidate with minimum 2 years of experience in a Data Engineer role

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Experience supporting and working with cross-functional teams in a dynamic environment.

They should also have experience using the following software/tools:

Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, etc

Experience with cloud services: GCP, AWS, etc

Experience with object-oriented/object function scripting languages: Python, Java, etc.

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi, etc.

Job Type:

These jobs comes under the private sector.

Selection Process:


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