rpln0168605_data engineer (sap bi/databricks).

2. Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets.
3. Proven Experience in working with any one of the data engineering technologies like ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA, AWS. Your experience in handling big data sets and big data technologies will be an asset.
4. Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark.
5. Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
6. Experience in working with AGILE, KANBAN methodologies. Able to run a sprint.
7. Communication Skills to engage both technical developers, Architects, and stakeholders.
8. Previously created or enhanced CI/CD build and releases pipelines.
Nice to Have Skills:
1. Experience in working with scripting languages such as YAML, PowerShell, Terraform etc.
2. Experience with big data tools: Kafka, Hadoop, Spark and similar technologies. Experience with stream-processing systems
3. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow and more.
4. Core Python skills like: Numpy, Panda, Django
5. Certification in Azure