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Data Engineer
3 weeks ago
A leading Los Angeles-based agency is seeking a talented Data Engineer to join their team in developing cutting-edge industry specific technology. Our client is looking for a highly motivated, web-focused engineer with experience in the full data life cycle. In this role, you will design data science programs, personas, machine learning models, and architecture to support Generative AI initiatives. Additionally, you will build and lead a team of data scientists, machine learning engineers, and architects. Ideal candidates will have practical experience working with large data sets, particularly in website lead generation, search engine marketing, SaaS, or cloud computing domains.
Key Qualifications:
- 3+ years of experience in a Data Engineer, BI Engineer, or Data Warehousing Engineer role
- Strong experience with ETL tools such as Talend, SSIS, Informatica, etc.
- Proficiency in Google Cloud Platform (Google Cloud Bucket, Google Cloud Fusion, Google BigQuery, Google Analytics)
- Proven ability to lead projects independently and deliver on time
- Strong skills in performance-tuning techniques
- Experience with real-time streaming implementation and architecture is a plus
- Expertise in building reports and data visualizations using BI tools like Tableau, Power BI, etc.
- Solid foundation in data organization and ETL/ELT processes
- Experience in designing resilient data pipelines
- Ability to take ownership of problems from end to end, focusing on data collection, extraction, and cleaning
- Experience in implementing maintenance strategies for datasets
- Comfortable collaborating with stakeholders to deliver the necessary BI, data warehousing, reporting, and analytical infrastructure
- Strong experience with AWS and GCP technologies (S3, SQS, Redshift, Kinesis, Google Cloud Bucket, Cloud Data Fusion, Google BigQuery)
- Working knowledge of Java/Python and respective build and packaging systems
- Experience with NoSQL databases like MongoDB, DynamoDB, Druid, Hive, Presto, etc.
- Proficiency in Amazon Web Services (S3, SQS, Redshift, DocumentDB, etc.)
- Experience with Python is highly desired
This is an excellent opportunity to contribute to a dynamic and innovative environment while advancing your career in data engineering.
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