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    • Flexibility and autonomy in solution design approach.
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    • Mentoring junior architects and technical resources on platform best practices and design patterns.
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    • Flexibility and autonomy in solution design approach.
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AWS Data Engineer - job post

Spait Infotech Private Limited
LeedsRemote
£55,000 - £110,000 a year - Permanent, Full-time

Benefits

Pulled from the full job description

  • Work from home

Full job description

Job Description – AWS Data Engineer (Remote, UK)

Job Type: Full-time, Permanent
Location: Remote (within the United Kingdom)
Eligibility: Must have the legal right to work in the UK
Experience Range: 3 to 12 years

Key Responsibilities

  • Design, build, and maintain scalable, secure, and efficient data pipelines on AWS.
  • Develop ETL/ELT workflows using services such as AWS Glue, AWS Lambda, EMR, Step Functions, and Kinesis.
  • Integrate data from APIs, databases, SaaS platforms, and streaming sources.
  • Build and manage data lakes using Amazon S3 and associated Lake Formation/Data Catalog components.
  • Develop optimized data models, dimensional models, and analytical datasets for downstream consumption.
  • Work with data warehousing technologies such as Amazon Redshift or Snowflake (optional).
  • Collaborate with architects to design scalable, cost-effective AWS data architectures.
  • Optimize performance of ETL pipelines, storage layers, and compute clusters.
  • Implement best practices for monitoring, logging, and cloud resource utilization.
  • Implement data quality checks, validation rules, and automated monitoring.
  • Ensure security compliance using IAM, encryption, data access control, and AWS governance tools.
  • Maintain documentation, lineage, and metadata for all data assets.
  • Partner with data analysts, data scientists, BI teams, and product stakeholders.
  • Translate business needs into technical design specifications.
  • Participate in sprint planning, design reviews, and technical workshops.

Required Skills & Experience (3–12 Years)

Candidates will be considered at junior-mid, mid-senior, or senior levels depending on experience.

Core Technical Skills

  • Hands-on experience with AWS data services, such as:
  • AWS Glue (ETL / PySpark)
  • Amazon S3
  • AWS Lambda
  • Amazon EMR / Spark
  • Amazon Redshift or Redshift Spectrum
  • AWS Step Functions
  • Amazon Kinesis or MSK
  • Strong SQL skills and proficiency in Python (PySpark experience preferred).
  • Experience designing and maintaining data pipelines for batch and/or streaming workloads.
  • Expertise in data modelling, data warehousing concepts, and data lake architectures.
  • Experience with version control (Git) and CI/CD pipelines (AWS DevOps / CodePipeline / GitHub Actions etc.).
  • Experience with Terraform or CloudFormation for IaC.
  • Knowledge of Snowflake, Databricks, or other cloud data platforms.
  • Exposure to MLops / data orchestration frameworks.
  • AWS certifications (e.g., AWS Data Analytics – Specialty, AWS Solutions Architect) are a plus.

Job Types: Full-time, Permanent

Pay: £55,000.00-£110,000.00 per year

Benefits:

  • Work from home
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