Sr. Software Engineer TECHM-JOB-26185

Keylent, Inc.

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Informatics, or related field required
  • Master's degree in Computer Science preferred
  • 3+ years of experience in a data engineering role
  • 2+ years of experience with AWS and related services (e.g., EC2, S3, etc.)
  • Familiarity with ETL tools and techniques is advantageous
  • Basic proficiency in ANSI SQL, APIs, and Python
  • Experience with RDBMS platforms, including MS SQL Server and NoSQL alternatives

Responsibilities

  • Build and document automated data pipelines from diverse data sources
  • Develop applications and APIs for near-real-time integrations using AWS
  • Ensure on-time delivery of product features in a DevOps manner
  • Contribute to architecture and design patterns for high data volumes
  • Create solutions to monitor and enhance data quality based on business needs
  • Implement reporting and analytics features within an Agile/Scrum framework
  • Provide post-implementation support for data pipelines

Benefits

  • Comprehensive health insurance
  • 401(k) plan with company match
  • Paid time off and holidays
  • Flexible work-life balance options
  • Professional development and training opportunities
Full Job Description
Sr. Software Engineer TECHM-JOB-26185
Position Data Engineer
Location:- Renton WA ( Day 1 Onsite)
Skill: Data Analytics Basics
Job Functions / Responsibilities

Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale
Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack
Ensure product and technical features are delivered to spec and on-time in a DevOps fashion
Contribute to overall architecture, framework, and design patterns to store and process high data volumes
Develop solutions to measure, improve, and monitor data quality based on business requirements
Design and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
Proactively support product health by building solutions that are automated, scalable, and sustainable - be relentlessly focused on minimizing defects and technical debt
Provide post-implementation production support for data pipeline
Qualifications
Bachelors' degree in Computer Science, Informatics, or a related field required
Masters' degree in Computer Science preferred
3+ years of experience in a data engineering role
2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)
Hands-on experience with ETL tools and techniques (Desirable)
Basic proficiency with a dialect of ANSI SQL, APIs, and Python
Knowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, NoSQL, Postgres

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