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Data Engineer (AWS, Central Location)
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Data Engineer (AWS, Central Location)
optimum solutions (singapore) pte ltd- Posted 57 minutes ago
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Job Description
Our client is looking for a Senior Data Engineer to design, build and operate enterprise-grade data platforms supporting analytics, data science and digital products. The role will contribute to data architecture, engineering standards and technical decision-making in a complex enterprise environment.
Responsibilities
- Design, build and maintain scalable data architectures and pipelines for data ingestion, transformation and delivery.
- Develop robust data models and reusable data capabilities for analysts, data scientists and applications.
- Improve the reliability, security, performance, observability and maintainability of data platforms.
- Evaluate technologies and architectural approaches, making sound technical trade-offs and contributing to engineering standards.
- Champion modern engineering practices including automated testing, code reviews, CI/CD and Infrastructure-as-Code.
- Collaborate with engineers, Product Managers, Data Scientists and analysts, while providing technical leadership, mentoring and knowledge sharing.
Requirements
- 7+ years of experience in software/data engineering with strong Python and SQL skills.
- Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery.
- Strong experience in enterprise data architecture and engineering, including production data systems.
- Hands-on experience designing data pipelines, data models, data warehouses, data lakes or lakehouse architectures.
- Experience with data orchestration, transformation and modelling.
- Strong understanding of production engineering practices including testing, CI/CD, monitoring, troubleshooting and data quality.
Good to Have
- Experience with Apache Airflow, dbt and/or Apache Spark.
- Strong knowledge of AWS data services and cloud infrastructure.
- Experience with Tableau, Power BI or similar BI tools.
- Knowledge of Infrastructure-as-Code, data observability, metadata, data catalogues or data lineage.
- Experience working with sensitive or regulated data.
More Info
Key Skills
data pipelines
code reviews
CI CD
data lakes
Infrastructure-as-Code
data orchestration
lakehouse architectures
About Company
Skills:
data engineering , Data Engineer, AWS, Databricks, Pyspark, Lambda, Amazon Web Services, Apache Spark, Spark SQL, Sql, Data Modeling, Etl, ELT, Big Data, Aws S3, Amazon S3, AWS Glue, Aws Lambda, Amazon Redshift, AWS IAM, Data Warehousing, Data Lake, Data Integration, Data Transformation, Data Migration, Cloud Migration, Git, Devops, Python, Aws Cloud, Data Architecture, Data Analytics, Data Governance, Data Quality, Agile, Sdlc, AWS Data Engineer, Data Pipelines, Scalable Data Pipelines, Delta Lake, Lakehouse Architecture, Amazon Athena, Cloud Data Engineering, Data Lakehouse, Data Processing, Workflow Orchestration, Batch Processing, Real-Time Data Processing, Performance Optimization, CI/CD, AWS Certified Data Engineer, AWS Certified Solutions Architect, Databricks Certified Data Engineer, Data Platform, Data Optimization, Stakeholder Management
Skills:
Sql, ELT, S3, Microsoft Sql Server, Lambda, Etl, AWS, Oracle, Data Modelling, Python, Terraform, Redshift, Infrastructure-as-Code, Glue
Skills:
Aws, Pyspark, LAMDA, Terraform
Skills:
snowflake , Data Engineer, AWS, AWS glue, Aws Redshift, Data Lake, Data Warehouse, Airflow
Skills:
S3, Databricks, Aws Services, Python, ECS, Lambda, RDS, Kafka, Vector DB