Data engineer (Azure) - Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops
Job Scope
. Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.
. Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.
. Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.
. Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.
. Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.
. Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.
. Deployment of pipeline artifacts from one environment to the other using Azure Devops.
Skills & Experience
. Bachelor's Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.
. Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.
. 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.
. Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.
. Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)
. Team player with good interpersonal, communication, and problem-solving skills.
. Preferred to have Devops expertise.
Working hours :
8:30am to 6pm (Monday to Friday) onsite, no hybrid option.
