Sr Data Engineer
Sr Data Engineer
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Job Description
- AWS/Azure/SAP
- ELT
- Data Modeling
- Data Integration & Ingestion
- Data Manipulation and Processing
- GitHub Actions Azure DevOps
- Data Factory Databricks SQL DB Synapse Stream Analytics Glue Airflow Kinesis Redshift SonarQube P
- Experience in project management running a scrum team
- Experience working with BPC Planning
- Exposure to working with an external technical ecosystem
- MKDocs documentation
- A technology expert who continuously seeks knowledge enhancement and has a natural curiosity to understand work from multiple perspectives
- Strong data focus with expertise in the technology domain
- A skilled communicator capable of engaging with both technical developers and business managers; respected and trusted by leaders and staff
- Actively supports the rollout and embedding of data foundation initiatives in alignment with key business programs
- Coordinates change management incident management and problem management processes
- Presents reports and findings to key stakeholders and serves as the subject matter expert on Data Analysis & Design
- Drives implementation efficiency across projects to minimize costs increase speed and maximize value delivery
- Contributes to communitybuilding initiatives such as CoE (Center of Excellence) and CoP (Community of Practice)
airflow,sql db,aws,redshift,data modeling,data factory,design,glue,stream analytics,github,databricks,azure,azure devops,sapelt,sonarqube,data,kinesis,data manipulation and processing,data integration & ingestion,synapse
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
