Senior Data Engineer

from 5 to 9 year(s) of Experience

Job Description

Commercial experience leading on client-facing projects, including working in close-knit teams

5+ years of experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)

5+ years of experience working on projects within the cloud ideally AWS or Azure

5+ years of experience working with streaming architectures and patterns like Kafka, Kinesis, Flink, or Confluent

Experience with open source tools like Apache Airflow and Griffin

Experience with DevOps and DataOps patterns and tools like Jenkins, Kubernetes, Docker, and Terraform

Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift

Experience building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models

Experience with one or more ETL/ELT tools like Talend, Matillion, FiveTran, or Alooma

Experience building automated data quality and testing into data pipelines

Experience with AI, NLP, Machine Learning, etc. is a plus

Strong development background with experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R

Experience working on lively projects and a consulting setting, often working on different and multiple projects at the same time

Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.

A deep personal motivation to always produce outstanding work for your clients and colleagues

Excel in team collaboration and working with others from diverse skill-sets and backgrounds

Salary: Not Disclosed by Recruiter

Industry:KPO / Research / Analytics

Functional Area:Other


Desired Candidate Profile

Please refer to the Job description above

Company Profile

HuQuo Consulting Pvt. Ltd.

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Contact Company:HuQuo Consulting Pvt. Ltd.