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Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.
Top Skills:
AirflowAthenaAWSAws Step FunctionsBigQueryContainersDatabricksDbtDockerEksGlueIamKafkaKubernetesLambdaNoSQLPysparkPythonReactRedshiftRestful ApisS3SnowflakeSparkSpark Structured StreamingSQLTerraformTrinoTypescript
Information Technology
Design, build, and maintain scalable data pipelines and ETL processes. Ensure data quality, lead data migrations and processing, advise on data architecture, optimize pipelines, shape best practices, collaborate across teams, and lead stakeholder communications to solve complex data challenges.
Information Technology
Design, develop, and maintain scalable data solutions and pipelines. Ensure data quality, lead ETL/migration efforts, provide architecture and optimization guidance, collaborate with cross-functional teams, and influence data strategy and best practices.
- Build and optimizing ‘big data’ data pipelines, architectures and data sets.
- Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- To support and develop Data modeling, Implementation activities.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Perform CI/CD Activities, Deployment activities in both cloud and on premises or as required.
- Experience with Data engineering tools (Python, Scala, Hadoop).
- Experience with relational (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools.
- Experience with stream-processing systems
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala,etc
- Experience on Cloudera/ Data bricks/ Snowflakes platforms will be added advantage
- Experience with Cloud (Aws, Azure or Google).
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
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