Proficiency with creating CI/CD pipelines and stages with Harness using YAML templates. Kong plugin development using Lua or Go. Experience with Package Managers like LuaRocks. Experience with containerization (Docker), and orchestration tools (Kubernetes). Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with monitoring and logging tools like Datadog and OpenTelemetry.
SAP DATA ARCHITECT
Location
Worldwide
Posted
7 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
SAP DATA ARCHITECT
Texas State Library and Archives Commision
Role Description The SAP AWS Data Architect will be responsible for designing and implementing data ingestion and processing pipelines, as well as collaborating with various teams to ensure effective data management. - Understanding of Basics of SAP, Apache NiFi, AWS Cloud tools such as S3, Athena, Redshift, Cloud9, Data Pipeline, Kafka, Glue, Scala/Pyspark, EMR, JIRA - Working with Business team on daily updates - Working with Technical PM on daily basis - Coordinating with offshore AWS team - Understanding basics of SAP and/or ERP systems or BW/HANA analytics - Design data ingestion and data processing pipelines using technologies such as Apache NiFi, Amazon MSK, Amazon EMR, PySpark, Scala, Athena, Glue and Data Pipelines to bring the data from Hana into Datalake that resides on Amazon S3. - Design data ingestion and data processing pipelines to move the data from S3 into data warehouse built using Amazon Redshift. - Develop design of data visualization layer that will be built using Amazon Redshift for Amazon Quicksight. - Build data ingestion and data processing pipelines using the above-mentioned technologies to bring the data from Hana into Amazon S3. - Working Knowledge of Python, JSON, Scala, Pyspark - Knowledge to use Python programs to integrate with Spark and utilize AWS Cloud tools such as Data Pipeline, EMR etc. - Knowledge of JSON programs to utilize EMR cluster to use the metadata to write pipelines - Working knowledge on converting ORC to Parquet - Build datasets in Amazon Quicksight utilizing the Redshift Data. Create Analysis and publish dashboards in Quicksight using the datasets. Qualifications - Understanding of SAP and/or ERP systems - Experience with AWS Cloud tools - Proficiency in data processing technologies - Working knowledge of Python, JSON, Scala, Pyspark Requirements - Experience with Apache NiFi, Amazon MSK, Amazon EMR - Ability to design data pipelines - Familiarity with Amazon Redshift and Quicksight - Knowledge of data formats such as ORC and Parquet Benefits - Remote work opportunity - Contract position
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