Data Engineer - KPO

About the client:

- Company Name: Www.Huquo.com

- Industries: IT Services & Consulting

- Company Type: Forbes Global 2000

- Funding Stage: Other

- Headquarter Location: US

- Nature of Offering: Service

- Founding Year: 2007

- No of Employees: 501-1000

You have experience with client projects and in handling vast amounts of data - working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques. You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Data Science team. Lead on projects from a data engineering perspective, working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches

- Plan and execute secure, good practice data integration strategies and approaches

- Acquire, ingest, and process data from multiple sources and systems into Big Data platforms

- Create and manage data environments in the Cloud

- Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models

- Have a strong understanding of Information Security principles to ensure compliant handling and management of client data

- This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science

Qualifications:

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

- 3+ years of experience and interest in Big Data technologies (Hadoop / Spark / Relational DBs)

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

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

- Experience in building operational data pipelines across a number of sources, and constructing relational and dimensional data models using any ETL/ELT tools (e.g. Talend, Informatica, Alteryx etc.) - Posses ETL Experience with Data Bricks

- Must posses strong understanding in Data Quality (e.g. Profiling, Cleansing, Validations et.) concepts & Testing methods

- Strong development background with experience in SQL along with at least one scripting knowledge (e.g. Python, Java, Scala, R etc.)

- Good to have experience with streaming architectures and patterns like Kafka

- Good to have better understanding of DevOps process

- Comfortable with client facing role with good consulting skills having knowledge in SDLC process

- 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