| Data Architect|| Owing Mills at least 2 times a week || local only at Mills, Wyoming, USA |
| Email: [email protected] |
| From: hanshika, vyze [email protected] Reply to: [email protected] Job Description - Adobe Experience Platform Python PySpark Air flow ect. Local Candidate is a deal on it Data Architect Location: Owing Mills at least 2 times a week, no exceptions HYBRID Duration: 12 months Interview: initial interview is a panel with 3 team members (1 hour): technical screening, 2nd round if required Hands on at least 5 years in Data architect space Build a framework, no just pipelines, more of a liaison between data engineers and architect, build data Pyspark, python (must be able to code, not just write scripts), at least 2 years with modern data: spark, snowflake (redshift or data lakes also works in lieu of snowflake), etc. ETL/ ELT: dbt, airflow (Work flow mgmt.), quality great expectations SQL knowledge to transfer to DB2: writing SQL and doing implementations for transformation logic Documentation, doing the implementations, architects will socialize a solution with the data engineers, more of a work with data architect, present to socialize with the stakeholders Database modeling experience DevOps: Jekins, Gitlab required Adobe Experience Platform: more of a ingestion into batch. Able to understand different patterns or ingestions: batch ingestion, micro batch ingestion, etc. Diff implementations with AEP integrations. In general, need to know how would it look on AWS for reference ingestions, etc. Plus: informatica, snap logic, kafka, new database platforms such as Postgres Team Size: <10 ppl in the architecture team, this resource will be working with 1-2 people in terms of data arch, diff implementations. Engineers: 8-9 will be using reference implementations Tuesdays- Thursday: 2 days are onsite days, most of the team does 2 of these days Some technical knowledge, good interpersonal skills, coding, etc. Tech Data Architect specializing in Hands on data engineering work for our technology & business partners. You will be part of the Distribution & Marketing Solutions Architecture team and steer strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership with our Platform Engineering teams. Tech Architect Job Responsibilities: At least 5+ years experience as a data architect Experience in Adobe Experience Platform Integration patterns Experience in building framework and reference Implementations Experience in SQL is a must Experience coding in python, pyspark for server side/data processing 2+ years experience using modern data stack (spark, snowflake) on cloud platforms (AWS) Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus) Experience with Database Modeling, Normalization techniques Experience with dev ops tools like Git, Jenkins, Gitlab CI Skills that would be a plus: ETL tools (Informatica, Snaplogic, dbt etc.) Experience with Snowflake or other Cloud Data warehousing products Exposure with Workflow management tools such as Airflow Exposure to messaging platforms such as Kafka Exposure to New SQL platforms such as Cockroachdb, Postgres etc Keywords: continuous integration information technology |
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| Tue Feb 13 21:35:00 UTC 2024 |