Leading Data Engineer for Scalable Cloud Solutions
3 weeks ago
Talent500 is seeking a highly skilled Senior Data Engineer to join our team. This exciting opportunity allows you to leverage your expertise in designing and architecting data lake solutions on AWS S3 and Snowflake, considering scalability, automation, security, and performance requirements.
Job DescriptionAs a Senior Data Engineer at Talent500, you will be responsible for:
- Architecting, building, and optimizing data lakes to store, process, and analyze large volumes of structured and unstructured data
- Gathering requirements and analysis, development planning, and coordination, data testing, documentation, and ensuring high levels of data quality
- Working with project leads, stakeholders, and business SMEs to define technical specifications for developing data integration requirements, code design, and functional and technical documentation
- Designing, developing, and maintaining data infrastructure
- Collaborating with cross-functional teams and process owners on the development of test cases and scripts, test models, and solutions to verify that requirements are met and ensuring high levels of data quality
We offer a competitive salary range of $140,000 - $200,000 per year, depending on experience.
Required Skills and QualificationsTo succeed in this role, you should have:
- 5+ years of experience with data lakes and data integrations
- Primary experience with data engineering, including AWS services like S3, Glue, Lambda, EMR, Athena, and proficiency in programming languages/tools like Python, Scala, SQL
- Apache Software expertise, including data processing with Spark & Flink, message broking using Kafka, orchestration using Airflow, and processing high data volumes in open table formats like Iceberg
- Snowflake expertise, including SnowSQL, Snowpipe, integrated with AWS S3, Streams, and Tasks, Stored Procedures, Compute and Storage usage optimizations, and Performance optimizations
- Certifications in AWS and Snowflake data engineering are a plus
Additionally, we require knowledge and experience integrating data from SAP ERP (on-premises and cloud), Salesforce CRM, Workday, Planisware, Team Center PLM, relational databases, and REST APIs. Preferred skills include ServiceNow, MFG MES, IoT/sensor data platforms, unstructured data, and other SaaS applications.
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