Experience as a Data Engineer with strong track record of designing and implementing data solutions.
* Experience in programming language as Python or Java, with experience in building data pipelines and workflows.
* Experience with cloud data warehousing technologies, such as Snowflake and Redshift.
* Experience with distributed computing frameworks such as Cloudera, Apache Hadoop and Spark.
* Experience with Cloud platforms such as AWS, Azure or Google Cloud Platform.
* Experience with AWS cloud services, such as S3, EC2, EMR, Glue, CloudWatch, Athena, Lambda.
* Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
* Experience with building CI/CD pipeline using tools, such has GitLab and Bitbucket.
* Experience with data pipeline orchestration tools, such as Airflow and Jenkins.
* Knowledge of database concepts, data modelling, schemas and query languages, SQL and Hive.
* Knowledge of data visualization and reporting tools, such as MicroStrategy, Tableau and Power BI.
* Knowledge of data quality and monitoring techniques and tools, such as Great Expectations or similar....