Similar Jobs
Fintech • Information Technology • Financial Services
Designs, builds, and operates secure AWS-native data pipelines and platforms for batch and event-driven workloads. Develops Airflow workflows using Python and SQL, implements tested data transformations, and integrates enterprise, security, and operational data sources. The role embeds data quality, lineage, observability, governance, encryption, access controls, and monitoring. It also contributes to CI/CD, infrastructure as code, documentation, code reviews, incident analysis, and cross-functional solutions supporting risk and regulatory needs.
Top Skills:
Amazon CloudwatchAmazon OpensearchAmazon S3Apache AirflowAWSAws GlueAws IamAws LambdaAws Secrets ManagerAws Step FunctionsCi/CdDbtGitGreat ExpectationsInfrastructure As CodePythonSQLTerraform
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and maintain critical database systems supporting manufacturing and engineering. Responsibilities include database installation, upgrades, patching, access management, backups, monitoring, performance tuning, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.
Top Skills:
Ai-Assisted ToolsJavaLinuxMicrosoft Sql ServerOracle DatabasePowershellPythonSQLSql Server ToolsWindows
Big Data • Cloud • Logistics • Machine Learning • Retail
Designs and optimizes scalable data pipelines and architectures supporting analytics and operational needs. The role develops ETL, streaming, data quality, governance, and cloud-based workflows using modern big data technologies. Responsibilities include translating business requirements into technical solutions, monitoring data systems, improving reliability and performance, and providing technical guidance on data modeling, storage, and metadata management.
Top Skills:
Apache HiveApache KafkaSparkCi/CdData ModelingData WarehousingETLGCPMetadata ManagementPython
We are looking for a highly motivated and skilled Data Engineer
Key Responsibilities- Build and maintain robust, scalable ETL pipelines across batch and real-time data sources.
- Design and implement data transformations using Spark (PySpark/Scala/Java) on Hadoop/Hive.
- Stream data from Kafka topics into data lakes or analytics layers using Spark Streaming.
- Collaborate with cross-functional teams on data modeling, ingestion strategies, and performance optimization.
- Implement and support CI/CD pipelines using Git, Jenkins, and container technologies like Docker/Kubernetes.
- Work within cloud and on-prem hybrid data platforms, contributing to automation, deployment, and monitoring of data workflows.
Skills
- Strong programming skills in Python, Scala, or Java.
- Hands-on experience with Apache Spark, Hadoop, Hive, Kafka, HBase, or related tools.
- Sound understanding of data warehousing, dimensional modeling, and SQL.
- Familiarity with Airflow, Git, Jenkins, and containerization tools (Docker/Kubernetes).
- Exposure to cloud platforms such as AWS or GCP is a plus.
- Experience with Agile delivery models and collaborative tools like Jira and Confluence.
- Experience with streaming data pipelines, machine learning workflows, or feature engineering.
- Familiarity with Terraform, Ansible, or other infrastructure-as-code tools.
- Exposure to Snowflake, Databricks, or modern data lakehouse architecture is a bonus.
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
