Sr. Data Engineer with AI
Iconma
- Location
- Remote
- Workplace
- Remote
- Employment
- Contract
- Salary
- USD 85/hr
Posted 22d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, and AWS technologies understanding of REST API GraphQL
- Design and develop ELT, ETL, Event driven data integration architecture solutions
- Work with the Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to establish an understanding of source data and determine data transformation and integration requirements
- Troubleshoot and tune complex SQL
- Utilize On-Prem and Cloud-based ETL platforms, Cloud Datawarehouse, AWS, GitHub, various scripting languages, SQL, querying tools, data quality tools, and metadata management tools
- Develop data validation processes to ensure data quality
- Demonstrated ability to work individually and as a part of the team in a collaborative manner
Requirements
- Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field
- 8+ years of experience with Data Engineering, ETL, data warehouse/data mart development, data lake development
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience working with Cloud Datawarehouse like Snowflake, Google BigQuery, Amazon Redshift
- Experience with AWS cloud services: EC2, S3, Lambda, SQS, SNS, etc.
- Experience with Cloud Integration Tools like Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue
- Experience with GitHub and its integration with the ETL tools for version control
- Experience with Informatica PowerCenter, various scripting languages, SQL, querying tools
- Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms
- Must Speak English
- Ability to work with business as well as IT stakeholders
- Strong written and oral communication skills with the ability to work with users, peers, and management
- Strong interpersonal skills
- Ability to work independently and as part of a team to successfully execute projects
- Highly motivated, self-starter with problem-solving skills
- Ability to multitask and meet aggressive deadlines efficiently and effectively
- Extraordinary attention to detail and accuracy
Preferred
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc., a plus
- Experience with Agile/Scrum is valuable
Skills
- Cloud Integration ETL Tools
- Cloud Data Warehouse
- SQL
- AWS
- REST API
- GraphQL
- ELT
- ETL
- Event driven data integration
- Snowflake
- Google BigQuery
- Amazon Redshift
- EC2
- S3
- Lambda
- SQS
- SNS
- Matillion
- Dell Boomi
- Informatica Cloud
- Talend
- AWS Glue
- GitHub
- Informatica PowerCenter
- scripting languages
- querying tools
- Spark
- Hadoop/Hive
- NoSQL
- APIs
- Streaming
- Python
- Java
- Scala
- Agile
- Scrum
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