Lead Software Engineer – Data Platform (Remote)

Description

Job Description:About Dodge Data & Analytics: At Dodge Data & Analytics (DDA), we believe construction is a critical sector of our economy. It is the engine that powers economic growth by creating a wealth of jobs throughout the industry. Unfortunately, though, for many companies in this space, construction jobs are often hard to find. This results in project delays and missed opportunities for everyone from architects to specialty trade subcontractors. With these difficult economic times, companies, and their employees, cannot afford not to know about work. That is where we come in. It is our job to make sure construction firms have visibility to any, and all jobs they could apply for. We are the leading provider of commercial construction project data, market forecasting & analytics, and workflow integration. Our solutions are used every day by building product manufacturers, architects, engineers, contractors, and specialty trade subcontractors to identify and pursue new opportunities that will help them grow their business and workforce. We do this by utilizing the latest technology to scrape the web for construction projects and ingest that content into our data platform. We then utilize master data management to define relationships amongst data elements and bring this together for our customers in an intuitive user experience, with analytics to truly challenge the art of the possible. We’re looking for great people who share our passion and vision, come join us! About the role: Dodge Data & Analytics is searching for a dynamic hands-on Lead Software Engineer to be part of our Data Platform team. The ideal candidate should have a track record of successfully designing, implementing backend enhancements following Agile methodology and Scrum framework. The role requires close collaboration with Product Managers, Project Managers, Data Architect, DBA’s, and will directly manage a development team of approximately 5 to 8 members including software developers, testers, performance engineer, and business analyst. This role must have excellent problem-solving, analytical thinking, and process re-engineering skills and accountable for the data platform team’s deliverables. This ideal candidate will work closely with on/offshore teams to ensure timely and effective execution of the data platform backlog using mature engineering practices. You will help lead, mentor, and grow other technical leads and developers on the team. What you’ll do: Responsible for designing methods to ingest, analyze, store, and utilize, data as it moves through the data platform gathering, cleansing, and enrichment processes Create database tables after identifying needs and migrate data from old to new systems. Create ways to store, organize, and present data. Perform complex technical and analytical tasks involving evaluations and database-driven applications. Administer a variety of database systems including Oracle and others. Assume the technical lead for SQL database projects. Manage all phases of ETL development on assigned projects including reviewing technical documentation, tasking ETL development work, conducting design reviews, coordinating packaging and release deployments, and testing of solutions in highly complex environments with a high volume of projects and changes in flight. Manage a team of developers, business analysts, and testers to develop and implement data solutions. Audit, modify, cleanse, and enrich data in systems using SQL commands, hand editing, and bulk import. Demonstrate strong problem solving and remediation skills. Manage ETL operations to include problem, incident, request management, and root-cause analysis. Plan and coordinate security measures alongside network administrators. Enhance, tune and build database designs. What you’ll bring: 8 to 10 years of professional experience in delivering solutions ranging from data engineering enhancements, process re-engineering and automation of manual processes, and integration with MDM solutions is a must. Experience in consolidating/simplifying data silos/processes and provide strategic leadership is a must. At least four (4) years of experience is required with: Data modeling (3rd Normal Form) ETL development Oracle database (PL/SQL) SQL scripting Data warehousing and BI/ETL processes Database design and database performance tuning At least four (4) years of Database administration skills are required. Previous cloud computing experience utilizing AWS is preferred. Proficiency in scripting languages (UNIX Shell, Perl, Python, Ruby, others) is a must. Proficiency with ETL tools like Talend, Informatica PowerCenter is preferred. Proficiency in RESTful concepts and experience building microservices using Java, Node.js, Python, and AWS Lambdas, SQS/SES/SNS is a plus. Proficiency in build automation using Jenkins or other tools is a plus. Elasticsearch experience, BI/ data warehouse experience is a plus. Natural Language Processing (NLP), Machine Learning is nice to have. Experience with tools like Tableau to generate analytical dashboards is a plus. Ability to multi-task, problem-solve and prioritize in a fast-paced environment. Excellent English written, oral, and presentation communication skills. Strong analytical skills, ability to use metrics to drive proactive and continuous improvements is a must. Experience working with source control tools like Git, BitBucket is a must. Knowledge of Agile methodology and Scrum framework for software development is a must. Dodge Data & Analytics is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran Job ID: 24490143
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Dodge Data & Analytics

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