Tech Lead TECHM-JOB-29034

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 data engineering
  • 2+ years of AWS experience, including EC2, S3, SNS, Lambda, IAM, and Snowflake
  • Hands-on experience with ETL tools and techniques (desirable)
  • Basic proficiency in ANSI SQL, APIs, and Python
  • Familiarity with RDBMS platforms like MS SQL Server, MySQL, NoSQL, Postgres

Responsibilities

  • Build and document automated data pipelines from various data sources
  • Develop highly available applications and APIs for real-time integrations using AWS
  • Ensure timely delivery of product and technical features in a DevOps style
  • Contribute to architecture and design patterns for handling large data volumes
  • Create solutions to measure, enhance, and monitor data quality based on business needs
  • Design and implement reporting features in collaboration with stakeholders using Agile/Scrum
  • Support product health with automated, scalable solutions and reduce technical debt

Benefits

  • Opportunity to expand skills in AWS and data engineering
  • Engagement in Agile/Scrum methodologies for project management
  • Collaborative environment with product owners and analysts
  • Focus on automation and scalability leading to impactful projects
  • Culture of innovation aimed at minimizing defects and technical debt
Full Job Description
Tech Lead TECHM-JOB-29034 JD: Lead Engg Band:U4 Qty:1 Location: Lewisville, USA 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 pipelines 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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