Tableau Developer

Delan Associates, Inc.; Charlotte (NC); On-site; USD 83,000 - 124,000; Full time

Job summary

Delan Associates, Inc. seeks a Tableau Developer to design and implement data pipelines on GCP, build dashboards, and optimize data models. The candidate will work onsite in Charlotte, collaborating with product teams on analytics solutions and reports.

The ideal professional has hands-on experience with Big Data technologies, SQL and data modeling, and strong Tableau expertise to deliver scalable analytics for business needs.

Qualifications

• BS or MS in computer science, computer engineering, or related field, or equivalent work experience.
• Hands-on software development experience with Big Data & Analytics solutions.
• Strong experience designing and optimizing data pipelines for large-scale processing.
• Proficiency in SQL and database design for performance and scalability.
• Experience with Git, Jenkins, and CI/CD processes.
• Knowledge of distributed systems and relational databases.
• Strong OOP and design pattern skills; cloud experience a plus.

Responsibilities

• Design, develop, and optimize data pipelines using GCP and Big Data tools.
• Create and optimize data models for performance and scalability.
• Develop Tableau dashboards, reports, and visualizations.
• Collaborate with product teams and cross-functional partners.

Skills

Big Data

SQL

Python

Git

Jenkins

CI/CD

OOP

Design patterns

Data pipelines

Tableau

Education

BS or MS in CS/CE

Tools

BigQuery

Airflow

DataProc

Pub/Sub

Hadoop Hive

Spark

Shell scripting

GitHub

Job description

Job Title: Tableau Developer

Location: Charlotte, NC (Onsite) – Need Locals, no relocation candidates

Duration: 6+ months Contract

MOI: Video (MSTeams) & In-person

Job Description:

Interviews: Live, Technical Hands On

BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.

hands-on software development experience with Big Data & Analytics solutions

GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,

Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.

Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.

Design and development experience with Git, Jenkins.

Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.

Strong Object-Oriented Programming skills and design patterns.

Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).

Good knowledge and experience with configuration management tools like GitHub

Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.

Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data

Looks proactively beyond the obvious for continuous improvement opportunities.

Communicates effectively with product and cross functional team.

Willingness to learn new technologies and leverage them to their optimal potential.

Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.

Certifications in cloud platform (GCP Professional Data Engineer) is a plus.

Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms

Improve engineering practices, including driving resilience, predictability, and end efficiency through automation

Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology

Technical Summary

Strong expertise in Tableau Desktop, Server, and Cloud.

Develop interactive dashboards, reports, visualizations, calculated fields, parameters, and filters.

Strong SQL, data modeling, ETL, and cloud database knowledge.

Experience with data integration, cleansing, blending, and validation.

Expertise in dashboard performance optimization and troubleshooting.

Knowledge of Tableau administration, security, permissions, scheduling, and deployments.