Why This Role Stands Out
Advance your career as an AWS Data Engineer with this exciting on-site opportunity, offering a competitive hourly rate of $65 and a chance to contribute to impactful projects. You'll thrive in this role if you are a skilled mid-senior professional eager to leverage your AWS expertise within a reputable company. Apply today to explore this engaging position!
Quick Overview
Job Description
Hi
The following requirement is open with our client.
Title : AWS Data Engineer
Location : Englewood, CO
Duration :12 Months
Relevant Experience (in Yrs.) :
Detailed Job Description:
⦁ Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python
⦁ Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems
⦁ Proficiency in building and managing ETL pipelines
⦁ Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR
⦁ Strong understanding of relational databases and SQL, and familiarity with NoSQL databases
⦁ Knowledge of data architecture, data warehousing, and data marts
⦁ Experience in implementing monitoring solutions and deployment pipelines for data applications
⦁ Ability to work with distributed systems and manage data storage solutions
⦁ Demonstrated ability and desire to continually expand skill set, and learn from and teach other
Design, develop, and maintain scalable ETLELT pipelines for processing large volumes of structured and unstructured data.
⦁ Create and optimize complex SQL queries, stored procedures, and data models.
⦁ Collaborate with business stakeholders, analysts, architects, and application teams to understand data requirements.
Must Have Skill
· ETL
· SQL
· AWS
· BigData
· Python
· Scala
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