Senior Associate Data Engineer

AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation and analytics, and software delivery to help enterprises deliver on the promise of digital transformation.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience

Description For Senior Associate Data Engineer

AHEAD is seeking a Senior Associate Data Engineer to join their dynamic project teams, working both on-site and remotely. This role, internally known as a Sr Associate Technical Consultant, will be responsible for hands-on engineering of Data platforms supporting advanced analytics, data science, and other data engineering initiatives. The ideal candidate will build and support modern data environments in public cloud or multi-cloud enterprise architectures.

Key responsibilities include:

  • Building, operationalizing, and monitoring data processing systems
  • Creating robust, automated pipelines for data ingestion and processing
  • Implementing custom applications using cloud-native tools
  • Engineering and supporting various data structures, including SQL and NoSQL databases
  • Maintaining ELT processes for data lake loading
  • Troubleshooting and resolving challenges
  • Collaborating with scrum team members

Qualifications:

  • 3+ years of professional technical experience
  • 2+ years of hands-on Data Architecture and Data Modelling
  • 2+ years building scalable data solutions using Hadoop, Spark, Databricks, Snowflake
  • 2+ years of Python programming
  • 1+ years of experience in cloud environments (AWS and/or Azure)
  • Strong client-facing communication and facilitation skills

Key skills include Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, and OLAP.

AHEAD offers a culture of belonging, valuing diversity and empowering employees to drive change. They provide growth opportunities through top-notch technologies, cross-department training, and sponsorship for certifications. Benefits include medical, dental, and vision insurance, 401(k), paid holidays, time off, and parental/caregiver leave.

Last updated 4 months ago

Responsibilities For Senior Associate Data Engineer

  • Build, operationalize and monitor data processing systems
  • Create robust and automated pipelines to ingest and process structured and unstructured data
  • Implement custom applications using cloud native tools
  • Engineer and support data structures including SQL and NoSQL databases
  • Engineer and maintain ELT processes for loading data lake
  • Leverage the right tools for the right job to deliver testable, maintainable, and modern data solutions
  • Respond to customer/team inquiries and assist in troubleshooting
  • Work with scrum team members to estimate and deliver work inside of a sprint
  • Research data questions, identify root causes, and interact with business users and technical resources

Requirements For Senior Associate Data Engineer

Python
Kafka
Kubernetes
  • 3+ years of professional technical experience
  • 2+ years of hands-on Data Architecture and Data Modelling
  • 2+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
  • 2+ years of programming languages such as Python
  • 1+ years of experience working in cloud environments (AWS and/or Azure)
  • Strong client-facing communication and facilitation skills

Benefits For Senior Associate Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Paid company holidays
  • Paid time off
  • Paid parental and caregiver leave

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