Database Developer

2 weeks ago

Salt Lake City, United States Saxon Global Full time
Database Developer

As a Data Engineer, you will guide the business on how to ingest, store, process, analyze, explore, and visualize data on the AWS Cloud Platform. You will work on data migrations and transformational projects, and with developers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.

The Team

Together with the team you will support implementation of AWS Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more.

The cloud platform team looks to build out next-generation hybrid data platform by leveraging new technologies and techniques to maximize the value out of data assets and empower employees to innovate.

The Expertise You Have
  • BA/BS degree in Computer Science, database or related technical field, or equivalent practical experience
  • Experience with relational databases, primarily Oracle, but including Postgres, MySQL, and Microsoft SQL Server
  • Experience in writing software in one or more languages such as Java, C++, Python, Perl, Go and/or JavaScript
  • Experience with Redshift, S3, Kinesis, Aurora, DynamoDB, Elastic Search, Data Dog, Redis, Lambda, Firehose
  • Experience managing internal or client-facing projects to completion; experience troubleshooting clients' technical issues; experience working with engineering teams, sales, services, and customers
The Skills You Bring
  • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
  • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and AWS Cloud Platform.
  • Experience working with cloud data platforms, such as Snowflake
  • Experience with Apache Airflow DAG creation and deployment
The Value You Deliver
  • Identify and respond to data needs for business users to use the analytics environment
  • Work with data architects to design and implement solutions to ingest, transform, connect, store and expose data to range of users
  • Incorporate new data sources by building pipelines for automated and semi-automated data ingestion and data refresh
  • Maintain existing scripts and develop new scripts in SQL, Python, and other languages as appropriate to parse, clean, transform, and load data
  • Develop and implement tests to ensure data quality and proper governance across all integrated datasets

Required Skills : Database development (modifying tables, objects, schemas), Data validation and aggregation, AWS data services and database (i.e. Kinesis, Aurora), Snowflake warehouse, Python, and SQL (query performance tuning).
Basic Qualification : • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and AWS Cloud Platform. • Experience working with cloud data platforms, such as Snowflake • Experience with Apache Airflow DAG creation and deployment
Additional Skills : • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and AWS Cloud Platform. • Experience working with cloud data platforms, such as Snowflake • Experience with Apache Airflow DAG creation and deploymentAs a Data Engineer, you will guide the business on how to ingest, store, process, analyze, explore, and visualize data on the AWS Cloud Platform. You will work on data migrations and transformational projects, and with developers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.
Background Check :Yes
Drug Screen :Yes
Notes :Upon offer, client requires 5 years of W2s for US projects (where applicable) to validate consultant's work history. It is required to show consultants W2 take home pay in the Exh A. SOW
Selling points for candidate :As a Data Engineer, you will guide the business on how to ingest, store, process, analyze, explore, and visualize data on the AWS Cloud Platform. You will work on data migrations and transformational projects, and with developers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :Yes
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Development/Engineering
Master Job Title :Dev: DB2 Database
Branch Code :Salt Lake City

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