Sr. Data Engineer Hybrid
1 week ago
Job Title: Senior Data Engineer - Hybrid (Local Preferred)
Company: Confidential
Location: Charlotte, NC (hybrid in office)
Job Type: Hybrid
Duration: 12+ months
Openings: 1
Ensure the candidate is thoroughly assessed before submission.
About the Role:
The project focuses on supply chain network planning to optimize channels.
Skill Requirements:
Mandatory Skills: Hadoop, Hive, HBase, ETL, Spark, and Talend
Secondary Skills: Java
Job Description:
Responsibilities include maintaining and migrating ETL Talend jobs to Spark, managing Hadoop Jobs, and redesigning data streaming from legacy systems using Java.
Qualifications:
- Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience)
- 7-8 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
- 4 years of experience in projects involving solution implementation using SDLC
Skills & Abilities Good to Have:
- Experience with cloud managed services for Client/Ops tech stack like Vertex AI, Client OPS, etc.
- Familiarity with feature engineering tools/techniques such as PCA, featureTools, Pyfeat, etc.
- Proficiency in model development using collaborative filtering or look-alike models
- Effective communication and data presentation skills with the ability to convey data-driven stories
- Quick adaptability to new technologies, tools, and techniques
- Flexibility, responsiveness, and the capacity to excel in fast-paced environments
- Collaborative work capability with both technical and non-technical team members
Preferred Qualifications:
- Master's Degree in Computer Science, CIS, or related field
- 5 years of IT experience developing and implementing business systems
- Experience with defect or incident tracking software for 5 years
- Proficient in writing technical documentation in software development contexts for 5 years
- 3 years of experience with IT Infrastructure Library (ITIL) framework
- Leadership experience of 3 years, with or without direct reports
- 5 years of involvement with source code control systems
- Experience with Continuous Integration/Continuous Deployment tools
- 5 years of systems analysis experience, defining technical requirements, and high-level design for complex solutions
Data Engineering Requirements:
- 7 years of specific experience in Hadoop or Cloud Bigdata components
- Proficiency in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka, or equivalent Cloud Bigdata components
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