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Data Engineering Analyst

1 month ago

St Paul, United States Expleo Full time
Overview

Trissential is a trusted partner for end-to-end quality services and management consulting. As a part of our parent company Expleo, we have a footprint in 30+ countries. Our Mission is to have a positive impact on every person who interacts with Trissential. Clients love us because we are service focused. Employees love us because they are valued and cared for.

Trissential is seeking a Data Engineering Analyst to join our client team remotely. The ideal candidate will have a strong background in data analytics, data engineering, and software engineering, with a passion for creating robust data models, pipelines, and architectures to support analytics initiatives. This role requires an individual with excellent problem-solving skills, strong programming abilities, and proficiency in SQL and data warehousing concepts. Effective collaboration and a client-focused mindset are essential for success in this role. This role is open only to candidates authorized to work and reside in the US.

Responsibilities

  • Create datasets for analytical purposes, including datasets for end users and BI developers
  • Build semantic layers and models to enable efficient analytics consumption across the organization
  • Develop data pipelines that support data science and machine learning models
  • Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Build data aggregation pipelines using Python, Apache Airflow, Spark, SQL, and other tools
  • Design, develop, and maintain data pipelines to ensure efficient and reliable ETL processes
  • Implement and maintain analytics systems, data warehouses, or data lakes for structured and unstructured data management
  • Create and maintain dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Looker
  • Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes
  • Provide knowledge transfer and training to team members and stakeholders
  • Engage with stakeholders to understand their analytics needs and deliver tailored solutions
Qualifications
  • Expertise in data modeling, ETL development, and data analysis
  • Strong SQL skills for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Redshift and Snowflake
  • Familiarity with cloud-based data platforms such as AWS, GCP, and Azure for data storage and processing
  • Substantial programming ability using languages/tools such as R, Python, JavaScript, Scala, and C++ for data manipulation and scripting
  • Solid understanding of relevant data governance, data quality, and data security best practices
  • Knowledge of ETL processes, data integration, and data warehousing concepts
  • Familiarity with data visualization tools such as Tableau, Power BI, and Looker
  • Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
  • Strong problem-solving skills, and the ability to think critically and analytically
  • Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders
  • Ability to understand and address the analytics needs of business stakeholders, delivering comprehensive reports, dashboards, and models
Essential skills
  • Data modeling and ETL development
  • SQL and data warehousing (Redshift, Snowflake)
  • Cloud-based data platforms (AWS, GCP, Azure)
  • Programming (R, Python, JavaScript, Scala, C++)
  • Data governance, quality, and security best practices
  • Data integration and warehousing concepts
  • Data visualization tools (Tableau, Power BI, Looker)
  • Big data technologies (Hadoop, Spark)
  • Critical and analytical thinking
  • Effective communication and collaboration
  • Ability to deliver client-focused solutions
Experience
  • 2-5 years in data analytics, data engineering, software engineering, or a related field


Benefits

Trissential offers a competitive compensation package for full time roles. The pay range for this role is $85,000 to $95,000 annually depending on candidate's qualifications and experience. This role is eligible for benefits and includes options for medical, dental, vision, and tele-health benefits; Health Savings Account with company contribution; 3 weeks PTO, and 401k retirement savings.

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