The Role
Design, implement, and deliver big-data marketing solutions and ETL/integration frameworks. Lead customer engagements, perform data modeling and cleaning, create technical documentation, conduct code reviews, testing, and deployments while collaborating with cross-functional teams.
Summary Generated by Built In
Position Title: Big Data Engineer
Employer: NGDATA US INC
Location: New York, New York
Job Description
NGDATA US INC seeks a Big Data Engineer to perform the following duties:
Education
Application Instructions
Employer: NGDATA US INC
Location: New York, New York
Job Description
NGDATA US INC seeks a Big Data Engineer to perform the following duties:
- 20% of the time: Own customer engagements complete lifecycle – including discovery, design, development, delivery, and support.
- 20% of the time: Design and review solution architectures.
- 10% of the time: Collaborate with cross-functional teams to translate business requirements into technical solutions and ensure alignment of deliverables and timelines.
- 10% of the time: Create detailed functional requirement specifications and technical design documents.
- 10% of the time: Perform data modeling and data preparation activities and apply data cleaning techniques.
- 10% of the time: Design and develop data integration and ETL frameworks using tools such as Apache NiFi and use restful APIs for enterprise platform
- integrations.
- 10% of the time: Implement big data marketing solution using NGDATA Intelligent Engagement Platform, by analyzing customer data, creating segments, and targeting groups.
- 10% of the time: Perform code reviews, functional testing of deliverables, and deployment activities.
Education
- Master's degree in Information Systems or equivalent.
- At least 48 months of experience as a Data Engineer, Data Analyst, Software Engineer, Business Intelligence Engineer, or Business Analyst.
- Min. 4 years of experience in project implementation, data preparation, data modelling, customer data, Python, Tableau/PowerBI, SQL, Oracle/MySQL, Jira, and Confluence;
- Min. 2 years of experience in Hadoop, HDFS, HBase, MapReduce, NiFi, Kubernetes, AWS, Azure, and GCP .
Application Instructions
- Interested applicants should submit a resume to: [email protected]
- Reference Position: Big Data Engineer
Skills Required
- Master's degree in Information Systems or equivalent
- At least 48 months (4 years) experience as Data Engineer, Data Analyst, Software Engineer, BI Engineer, or Business Analyst
- Minimum 4 years experience in project implementation
- Minimum 4 years experience in data preparation
- Minimum 4 years experience in data modelling
- Minimum 4 years experience working with customer data
- Minimum 4 years experience with Python
- Minimum 4 years experience with Tableau or PowerBI
- Minimum 4 years experience with SQL
- Minimum 4 years experience with Oracle or MySQL
- Minimum 4 years experience with Jira
- Minimum 4 years experience with Confluence
- Minimum 2 years experience with Hadoop
- Minimum 2 years experience with HDFS
- Minimum 2 years experience with HBase
- Minimum 2 years experience with MapReduce
- Minimum 2 years experience with Apache NiFi
- Minimum 2 years experience with Kubernetes
- Minimum 2 years experience with AWS
- Minimum 2 years experience with Azure
- Minimum 2 years experience with GCP
- Experience designing and developing ETL/data integration frameworks and using RESTful APIs
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The Company
What We Do
NGDATA is a global digital experience company that partners with businesses to harness the power of data to drive customer-centricity. Our solutions centralize customer data and use AI modeling and machine learning to recommend industry-specific, omnichannel customer engagement journeys. These recommendations build lasting relationships with customers, and drive business impact through retention and an increase in wallet share and market share. In over a decade of experience collaborating with data-rich industries including financial services, telecommunications, media and entertainment, utilities, and hospitality; NGDATA's cutting-edge technology and team of experts have delivered more than half a billion personalized recommendations for companies around the world
