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Data Governance & Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map equity operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix makes decisions govern live migration tracking operating data security event tracking hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
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Project (Field) Engineer

posted by: spj_bot

The Project (Field) Engineer will deliver assigned work packages with attention to detail, participating in their allocated team for the successful execution of project or tender.

The Project (Field) Engineers are expected to:

·     Pursue innovation and improvement in engineering & design practices.

·     Pursue the concept of 'Design for safety, function and practicality / economy of fabrication', in accordance with the DOF Engineering Manual, project BoD, Client expectations, budget and schedule.

·     Understand and apply industry codes / standards required to support specific project or tendering requirements

- including AS / DNV / API / IMCA / AISC etc.

·     Ensure all technical deliverables are concise, legible, accurate and in compliance with DOF standards & templates.

·     Ensure all work is completed in accordance with the DOF Engineering Manual.

Requirements

TASKS AND RESPONSIBILITIES

Key Tasks:

Project (Field) Engineers are expected to carry out the following work tasks:

·     Assemble and review all design inputs required to support specific project or tendering works.

·     Own and be responsible for delivery of discrete work packages as allocated by your functional and administrative managers, on time and in budget

Job Skills

color professional risk assessments rigging project management consumables genetic negotiation managers based project work environment finance teamwork package development industry standards operations project engineer hazard identification management system disability manage functional project planning manage aisc engineering analysis research compile survey safe problem solve offshore engineering installation fabrication API diving executing develop review budget task plans leadership progress monitor phase logistics conflict management load tests based assets datum log innovation legible communication written technical documentation construction imr measurements performing self discipline client expectations presentation risk assessment constructability allocating tasks design review safety function management external interfaces schedules project manager best practice calibrations presentations templates procurement personal attributes schedule confidence self functional manager national certifying reports technical economy self motivation plans audits
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Data Analytics Engineer - (Remote - US)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Analytics Engineer in United States.

As a Data Analytics Engineer, you will be pivotal in shaping the company’s data function. You will build and maintain data models, improve data collection and reporting processes, and work cross-functionally to ensure reliable, accurate, and up-to-date data is available for decision-making. Your role will involve writing SQL for ETL flows, collaborating with engineering teams to evolve the data stack, and advocating for a data-driven culture throughout the organization. The ideal candidate thrives in a fast-paced environment, enjoys digging into data, and is passionate about creating impactful, actionable insights.

Accountabilities:

Job Skills

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