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Chief Data Architect
3 weeks ago
This role requires a strong technical background in solutioning, data architecture and analytical positions with 10 to 15 years of experience.
- Develop and manage data lakes, data warehouses, data integration and migration solutions on cloud platforms (GCP/AWS/Azure).
- Architect and implement end-to-end data pipelines and data integration solutions for structured and unstructured data sources and targets.
Key responsibilities include working with distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud, utilizing data integration technologies on cloud such as Spark and Dataflow, and managing data engineering teams.
Requirements:- 8+ years of experience in technical solutioning and analytical roles.
- 5+ years of experience in building and managing data lakes, data warehouses and business intelligence solutions on cloud (GCP/AWS/Azure).
- Demonstrated ability to understand business requirements and translate them into functional areas.
Required Skills:
- Data integration and storage toolsets (S3, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.).
- Cloud databases (Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.).
- Machine learning frameworks (TensorFlow, Pytorch, etc.).
- B.I. Reporting and Dashboarding (Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.).
- Security features and Policies in one or more cloud environments (GCP/AWS/Azure).