Job Description :

We have urgent requirements for Data Engineer” in Las Vegas, NV with one of our clients. Please review the job description below and let me know your interest.


Job Title: Data Engineer

Location: Las Vegas, NV (Day 1 Onsite)

Hire Type: C2C


Job Requirements: Data bricks, Data Mining, Data Analysis


Job Description:

·         This role is an experienced Development Data Engineer that will assist in designing, developing and deploying data-driven solutions as part of a strategic data transformation effort.

·         The candidate will join a team of Data Architects and Engineers who will be responsible for optimizing and transforming our data architecture, infrastructure, operations, and related functions.

·         Essential Job Functions Leverage modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types # including support for OLTP and API Microservices, data warehouses, data lakes, ODS, streaming data, analytic and BI visualizations, etc.

·         Transform legacy data structures and processes s to modern, capable, and secure solutions in a hybrid cloud setup Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches Design and Implement Data Services (DaaS) for consumption and various manipulations throughout the Data Ecosystem applying the #contract first# design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.

·         Build best-practice driven data ing estion, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI NLP and consuming systems Ensure data security by designing controls and protection strategies Enable application performance an d modernization by creating appropriate data capabilities to match.

·         Requirements 6 years of experience in data engineering, development and operations roles, including experience with transformational efforts

·         Experience with Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS GCP Azure).

·         Hands on experience using tools is strongly preferred Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, Elastic Search (ELK), JSON, Parquet, Avro and othe.




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