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Senior Cloud Data Engineer
Ref No.: 20-03058
Location: Lake Forest, California
Sunrise System Inc. is currently looking for Senior Cloud Data Engineer in Lake Forest, CA with one of our top client.
Job Title: Senior Cloud Data Engineer
Job Id: 20-03058
Location: Lake Forest, CA 92630
Duration: 6 months
Position Type: Hourly contract Position (W2 only)
  • We are looking for a Senior Cloud Data Engineer to join our Connectivity Services Team.
  • The successful candidate will have years designing and developing relational and NoSQL data storage solutions in a hybrid cloud environment, demonstrate solid experience in delivering database code pipelines, orchestrated or played a critical role in on-prem to cloud migrations, as well as collaborated with peers in implementing functional data governance of hybrid cloud assets.
  • Ability to clearly communicate through verbal and written word with peers, one-on-one and in groups, articulating complex analysis, design and development concepts and ideas
  • Excellent track record of creative, accurate, on-time delivery of high-quality software solutions in a production cloud environment
  • Complete understanding of data modelling techniques: operational transactions and logging, data warehouse or data vault, star and snowflake dimensional schemas, normalization and denormalization
  • Experience in dealing with structured, semi-structured and unstructured data in batch and real-timeenvironments.
  • Engineering software products that provide synchronous and asynchronous messaging to client software on board an aircraft on a global scale Solid experience working in AWS environments including:
  • EC2, S3, Lambda, RDS, EMR, Redshift, Glue, Spark, Kinesis/Kafka, Data Lake Formation and related server less services
  • AWS Glue, with preferred additional experience using Python and AWS Lambda functions
  • Data formats and ETL/ELT processes in including Hive, Parquet, Map Reduce, or YARN
  • Cloud Formation and Code Pipline, particularly as it applies to schema versioning
  • Performance tuning, data access optimization and other related monitoring and troubleshooting activities in high transaction volume, mutli-user, big data environments
  • Backups, restores, recovery models, data store shrink operations and other data deployment models including clustering, mirroring and replication as they pertain to on-prem and cloud hosted (server less) services
  • Familiar supporting data integration and data visualization using tools such as Quick sight, PowerBI, Tableau, or similar
  • Solid understanding of version control, branching and merging, automated builds, and releases
  • Good working experience with Agile development methods such as TDD, Scrum, Mob Programming, CI/CD pipelines, as well as tools such as Git, Jenkins, Jira, and Confluence
  • Strong experience creating/enforcing data governance and master data management, data catalogs, data lineage as well as managing the full data life cycle from acquisition through archiving
  • Familiar with data architecture using data modeling and scripting tools (such as ERWin) to create conceptual, logical and physical models; Experience using data ETL modeling and execution tools.
  • Experience in troubleshooting and resolving database issues such as integrity issues, performance issues, blocking and deadlocking issues, replication issues, log shipping issues, connectivity issues, and security issues
  • Familiar with REST and SOAP API development, JSON document formats, web application development and middle-ware development, emphasizing data access implementation
  • Documentation skills for processes and procedures (data flow, use cases, data dictionaries, ETL processing)
  • 10+ years of experience in database design, development and programming in relational database and NoSQL environments supporting OLTP, Data Warehouse, and BI data stores
  • 5+ years direct AWS Cloud based data storage design, implementation and support using S3, RDS,
  • Aurora, RedShift, DynamoDB, MongoDB, Snowflake and similar services
    Bachelor's Degree in Computer Science or equivalent. 
Abdul. A
Direct: (732) 272 0298 | Email:
Michael Peng
Direct: (732) 272 0265 |