11 of 11 Contract Amazon Redshift Jobs

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

large on prem to AWS migration programme in replicating data pipelines in readiness for a lift and shift to the cloud. Essential: AWS and Redshift In full: Role purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data ...

engineering, and DevOps. You will be accountable for solution design, engineering standards, and delivery assurance across an AWS data platform using S3, Glue, and Redshift . Key Responsibilities Providing hands-on technical leadership and mentoring to a small delivery team Designing and delivering data ingestion, transformation, and storage patterns … using S3, AWS Glue, and Redshift Owning data architecture decisions, including data modelling, partitioning strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven ...

ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

operational runbooks for proactive alerting Automation & Tooling: Utilize schema conversion tools, IaC (Terraform), CI/CD pipelines (GitLab), and AWS services (Glue, Athena, Redshift) for downstream analytics Data Modelling & Conversion (Good to have): Transform Db2 schemas to Aurora PostgreSQL; design logical/physical models, enforce referential integrity, and apply ...

strong delivery focus) in data or platform teams Strong hands-on understanding of AWS services, particularly those used in data platforms (e.g. S3, Glue, Redshift, Lambda, IAM) Solid experience with Databricks, including data engineering and analytics use cases Familiarity with modern data architectures (lakehouse, data lakes, streaming, batch processing ...

EBCDIC to UTF-8 and packed decimal conversions, with validation test suites. Utilize migration tooling for schema conversion and downstream analytics (Glue, Athena, Redshift), with infrastructure-as-code (Terraform) and CI/CD (GitLab). Plan and execute cutovers with dual-run validation, reconciliation, rollback strategies, and data governance ...

Location: Ipswitch (onsite) Job Type: Permanent Job Summary: AWS Support Engineer/Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python … network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys Workload management (WLM) Performance optimization & troubleshooting Python: Automation scripts Data processing workflows Monitoring, debugging ...