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AWS Big Data Solutions Engineer

2 months ago

Weymouth, Dorset, United Kingdom Ismile Technologies Full time
About the Role

We are seeking a highly skilled AWS Big Data Solutions Engineer to join our team at Ismile Technologies. As a key member of our engineering team, you will be responsible for designing and building scalable data solutions using AWS technologies.

Key Responsibilities
  • Design and implement reusable components, frameworks, and libraries at scale to support analytics products.
  • Collaborate with business and technology stakeholders to design and implement product features.
  • Identify and solve issues concerning data management to improve data quality.
  • Clean, prepare, and optimize data for ingestion and consumption.
  • Implement automated workflows and routines using workflow scheduling tools.
  • Build continuous integration, test-driven development, and production deployment frameworks.
  • Analyze and profile data for designing scalable solutions.
  • Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.
Requirements
  • Strong understanding of data structures and algorithms.
  • Strong understanding of solution and technical design.
  • Has a strong problem-solving and analytical mindset.
  • Able to influence and communicate effectively both verbally and written with team members and business stakeholders.
  • Able to quickly pick up new programming languages, technologies, and frameworks.
  • Experience building cloud, scalable, real-time, and high-performance data lake solutions.
  • Fair understanding of developing complex data solutions.
  • Experience working on end-to-end solution design.
  • Willing to learn new skills and technologies.
  • Has a passion for data solutions.
Preferred Skill Sets
  • Hands-on experience in Databricks and AWS EMR, Hive, Pyspark, S3, Athena.
  • Familiarity with Spark Structured Streaming.
  • Minimum 4 years of experience working with Hadoop stack, dealing with huge volumes of data in a scalable fashion.
  • 10 years of hands-on experience with SQL, ETL, data transformation, and analytics functions.
  • 8 years of hands-on Python experience, including batch scripting, data manipulation, distributable packages.
  • 4 years of experience working with batch orchestration tools, such as Apache Airflow or equivalent, preferable Airflow.
  • 4 years of working with code versioning tools, such as GitHub or BitBucket; expert-level understanding of repo design and best practices.
  • Familiarity with deployment automation tools, such as Jenkins.
  • 8 years of hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hands-on experience with API development.
  • 4 years of designing and developing relational database objects; knowledgeable on logical and physical data modeling concepts; some experience with Snowflake.
  • Familiarity with Tableau or Cognos use cases.
  • Familiarity with Agile; working experience preferred.