Startup Jobs
Post a Job
ProArch

Sr. AWS Data Engineer

contractor Remote

AI overview

Leverage AWS technologies to design and manage scalable data architectures while mentoring junior engineers and collaborating with cross-functional teams.

ProArch is seeking a highly skilled Sr. AWS Data Engineer to join our growing team. In this role, you will leverage your expertise in AWS to design, implement, and manage robust data solutions that enable our organization to capture, store, and analyze vast amounts of data. You will work closely with data scientists, analysts, and other engineering teams to ensure data is available, accurate, and in a format that supports business decisions. If you are passionate about data and have extensive experience with AWS data technologies, we want to hear from you!

Key Responsibilities:

  • Design and develop scalable data architecture using AWS services such as S3, Redshift, Aurora, and Glue.
  • Implement and manage data pipelines to automate the extraction, transformation, and loading (ETL) processes.
  • Develop and optimize data models and data warehouse solutions that support analytical needs.
  • Collaborate with cross-functional teams to gather data requirements and translate them into actionable data solutions.
  • Monitor data pipeline performance and troubleshoot issues to ensure the reliability and accuracy of data.
  • Implement data governance practices to maintain data quality and integrity.
  • Stay current with evolving AWS technologies and industry trends to provide recommendations for improvements.
  • Mentor junior data engineers and help them grow their technical expertise in AWS data engineering.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in data engineering with a focus on AWS technologies.
  • Strong experience of AWS services (S3, Redshift, Glue, Kinesis, Lambda, and more).
  • Proficiency in Python, SQL, and ETL tools for data processing and transformation.
  • Experience designing data workflows and pipelines using AWS Glue or similar ETL tools.
  • Terraform, Liquibase, Bitbucket, Ancilary AWS services ( Secrets Manager, KMS, etc.),
  • Solid knowledge of data warehousing concepts and data modeling techniques.
  • Familiarity with Apache Spark, Kafka, or other data streaming technologies is a plus.
  • Excellent communication skills and an ability to collaborate with technical and non-technical stakeholders.
  • A proactive approach to problem-solving and a strong desire to learn and grow.
  • AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus.

Benefits

NA

ProArch

We are a value-driven consulting and engineering partner, helping companies to design and execute their most challenging digital transformations in the Cloud.Moving to the Cloud is merely the foundation of your digital transformation. Once migration is complete, we integrate cutting-edge technologies into all areas of your organization to redefine the way you do business. Our aim is to take you on a Cloud-centric journey to unlock the value hidden in your data and compete in an increasingly competitive and connected world. We take an evidence-based approach to setting up your transformation, leveraging ProArch’s solution set to accelerate your time to value.

Website LinkedIn
View all jobs
Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Engineer Q&A's
Report this job
Apply for this job