Data Engineer
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About the Role
We are looking for a skilled Data Engineer to help modernize, scale, and optimize our cloud data platform. In this role, you will build robust data pipelines, migrate legacy workflows, and manage enterprise datasets using AWS, Databricks, and Informatica.
Helius Technologies is a global consulting and IT services company headquartered in Singapore. Our focus is on delivering consulting and staffing solutions spanning augmentation to managed services.
Established in 2006, Helius has partnered and supported leading companies across diverse industries including Banking and Financial Services, Manufacturing, Logistics and Healthcare.
Our objective is to be a solutions partner for our customers by focusing on their needs, leveraging our strong resource team, being flexible in our approach, and using proven processes. Over the years we have established our clientele and a significant pool of resources and facilities. We continue to grow rapidly as a company with strong management, technical and financial resources and unwavering commitment to serve our clients.
Job ID: 152427645
Skills:
data engineering , Kafka, Emr, Redshift, Sql, Hive, Spark, Databricks, Column stores, Airflow, Micro-services architecture, Flink, Apache projects, AWS data services, Scalable data pipelines, Streaming pipelines, Relational Databases, Athena
Skills:
MySQL, Redis, Google Cloud, AWS, SQL standards
Skills:
Aws Lambda, Cassandra, AWS Glue, Sql, VoltDB, Spring, Pandas, MySQL, Sqlite, Postgres, MongoDB, Python, Aws S3, Eventbridge, R, Gis, Athena, ECS Container task
Skills:
data engineering , data warehouses , Spark SQL, Java, Ibm Mq, Pyspark, Sql, ELT, Api, Databricks, Talend, Python, Etl, AI-ready Data Platforms, Data Lakes, Relational Databases, CI CD-integrated Testing Frameworks, Lakehouses
Skills:
S3, Data Transformation, Data Modelling, Power Bi, Amazon Redshift, AWS Glue, Tableau, Sql, Amazon QuickSight
