Principal Data Engineer

CGI•Houston, TX

1d•Hybrid

About The Position

CGI is looking for a Data Engineer who manages one or more data engineering projects of moderate complexity. Leads or acts as key team member in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources. Takes direct reports, when applicable, through Agile Framework and its respective tools. Influences stakeholders in adopting analyses / outcomes. Acts proactively to support the business to further professionalize their MI / Analytic reporting platform, using the ESSA approach. Opinions valued by business interface. Plays a prominent role in project-related meetings etc. Utilizes business partnering in order to gather, analyze and model data and key performance indicators of the highest complexity. Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing. Works independently under broad managerial supervision. This role is based out of Houston and need to be onsite 3 days a week. Roles and Responsibilities: The Principal Data Engineer is the one who conceptualizes and designs data foundations and end to end solutions including data platforms for the Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community. A Principal Data engineer is expected to be a subject matter expert, and an active thought partner in the organization's data strategy and the key driver to define the Vison and Data Strategy for robust and future ready IT solutions Key Characteristics Hands-on technical delivery leader Visible community leader for data engineers Conducts quality, community & conference presentations/trainings Has vast array of technology skills with deep expertise in at least 2 core technologies (Azure, AWS, SAP) A skilled communicator capable of speaking to both technical developers and business managers. Able to drive change and improvement through a deep understanding of the inter-relationship between People, Process, Data and Technology Coordinate the change management process, incident management and problem management process. Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery. Drives & contributes to community building initiatives like CoE, CoP.

Requirements

AWS/Azure/SAP - Master
ELT - Master
Data Modeling - Master
Data Integration & Ingestion - Master
Data Manipulation and Processing - Skill
GITHUB, Action, Azure DevOps - Skill
Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill

Nice To Haves

Experience in project management, running a scrum team.
Experience working with BPC, Planning.
Exposure to working with external technical ecosystem.
Managing small teams.
MKDocs documentation

Responsibilities

Manages one or more data engineering projects of moderate complexity.
Leads or acts as key team member in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth.
Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources.
Takes direct reports, when applicable, through Agile Framework and its respective tools.
Influences stakeholders in adopting analyses / outcomes.
Acts proactively to support the business to further professionalize their MI / Analytic reporting platform, using the ESSA approach.
Utilizes business partnering in order to gather, analyze and model data and key performance indicators of the highest complexity.
Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing.
Conceptualizes and designs data foundations and end to end solutions including data platforms for the Business to maximize value from data.
Helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community.
Expected to be a subject matter expert, and an active thought partner in the organization's data strategy and the key driver to define the Vison and Data Strategy for robust and future ready IT solutions
Coordinate the change management process, incident management and problem management process.
Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.
Drives & contributes to community building initiatives like CoE, CoP.