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Senior AWS Cloud Engineer - USC- REMOTE

Synersys TechnologiesUnited States🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This remote Senior AWS Cloud Engineer role offers significant opportunities for impact and skill development within a reputable company. You'll thrive here if you possess strong AWS and data engineering expertise, enjoy designing and implementing robust cloud solutions, and value a flexible work environment. Apply today to elevate your career!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Senior AWS Cloud Engineer - 12+ Exp - - REMOTE

 

Duties:

  • Work with business and technical leadership to understand requirements.
  • Design to the requirements and document the designs.
  • Ability to write product-grade performant code for data extraction, transformations and loading using Spark, Py-Spark.
  • Do data modeling as needed for the requirements.
  • Write performant queries using Teradata SQL, Hive SQL and Spark SQL against Teradata and DataBricks Unity Catalog.
  • Implementing dev-ops pipelines to deploy code artifacts on to the designated platform/servers like AWS or DataBricks.
  • Implement DataBricks job orchestration using DataBricks.
  • Troubleshooting the issues, providing effective solutions and jobs monitoring in the production environment.
  • Participate in sprint planning sessions, refinement/story-grooming sessions, daily scrums, demos and retrospectives


Skills

  • Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, and DataBricks.
  • Experience of Ab Initio is required.
  • Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures.
  • Excellent work experience on DataBricks as data warehouse/Data Lake implementations.
  • Experience in Agile and working knowledge on DevOps tools (Git, Jenkins, Artifactory) Unix/Linux Shell scripting (KSH) and basic administration of Unix servers CA7 Enterprise Scheduler AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch) Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration).
  • Experience in Jira and Confluence Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.
  • Health care domain knowledge is a plus

Education:     .

  • Bachelor’s degree in a field such as Computer Science/Engineering


Required Skills:

  • Spark
  • Py-Spark
  • Shell Scripting
  • Teradata
  • AWS
  • SQL
  • Databricks
  • Health Care Domain Knowledge


Additional Skills:

  • Jenkins
  • Artifactory
  • Unix/Linux Shell Scripting
  • Stored Procedures
  • Ab Initio
  • Sql
  • Teradata Sql
  • Hive Sql
  • Spark Sql
  • Git
  • Unix Server Administration
  • Ca7 Enterprise Scheduler
  • AWS
  • S3
  • EC2
  • SNS
  • SQS
  • Lambda
  • ECS
  • GLUE
  • IAM
  • Cloudwatch
  • Databricks Delta Lake
  • Databricks Notebooks
  • Databricks Pipelines
  • Databricks Cluster Management
  • Data Lake Implementation
  • AGILE
  • Data Warehouse Implementation
  • Devops Tools
  • Azure/Aws Integration
  • JIRA
  • Confluence


Minimum Degree Required: Bachelor''s Degree        

Skills

SQL
Shell
AWS
Agile
Azure
Confluence
Databricks
Git
Hive
Jenkins
Jira
Unity

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