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Remote Position Sr AWS Data Engineer C2H Position
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Remote Position Sr A....
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Remote Position Sr AWS Data Engineer C2H Position

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Job Location drjobs

USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Position: Sr. AWS Data engineer (**C2H**)

Location: Remote (Scottsdale AZ)

Duration: 4 Months C2H

Experience: 14 years

Must have skills: AWS Redshift S3 Glue SQL Python programming & frameworks

Description:

We are looking for a talented and experienced Sr. Data Engineer with Healthcare IT experience in our Data Operations team where you will play a pivotal role in shaping the future of the data platform while thriving in a fastpaced environment that encourages personal growth and development.

Responsibilities:

  • Work in the Data Operations squad to design develop and enhance the data and analytics solutions and pipelines driving datadriven decisionmaking processes.
  • Collaborate with scrum masters product owners and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements.
  • Work closely with the development team in building Innovative API first cloud native solutions using AWS platform.
  • Design build and optimize data storage solutions using AWS DynamoDB AWS S3 Lambda Glue Athena & Redshift and other relevant technologies.
  • Continuously enhance full delivery pipeline through automation expanded yet increasingly efficient test coverage ultimately optimizing timetomarket and overall quality.
  • Optimize and finetune existing data pipelines for performance scalability and reliability.
  • Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
  • Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes.
  • Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices.
  • Strong understanding of serverless architecture and the ability to design and implement serverless data processing solutions.
  • Solid understanding of data modeling ETL processes and data warehousing concepts.
  • Effective communication skills to collaborate with technical and nontechnical stakeholders.

Required Skills & Qualifications:

  • Bachelors or Masters degree in Computer Science Engineering or a related field.
  • 9 years of experience in data engineering roles with a strong focus on Python application development and data processing.
  • Proficiency in Python programming and experience with relevant frameworks (e.g. Pandas NumPy etc.).
  • 3 years experience with automation of DevOps build using GitLab/Bitbucket/Jenkins/Maven.
  • 5 years experience AWS cloud and AWS services such as S3 Buckets Lambda API Gateway DynamoDB SQS queues and Redshift.
  • 5 years experience with batch job scheduling and identifying data/job dependencies.
  • Understanding of Spark Hive Kafka Kinesis Spark Streaming and Airflow.
  • Experience in Software Engineering and Development.
  • Understanding of database schema design.
  • Proficient in one of the coding languages (Python Java Scala).
  • AWS certifications are a plus.

Employment Type

Remote

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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