Data Engineer

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SupportNinja

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💰 Private Equity Round on 2021-02

B2B • SaaS

SupportNinja is a company that provides customizable and agile outsourcing solutions to help businesses scale and achieve key business outcomes. They specialize in areas like customer experience, customer support, technical support, content moderation, data processing, and finance & accounting. Utilizing AI-enabled solutions, SupportNinja aids over 200 companies in optimizing operations and achieving growth without the burden of extensive headcount increases. Their services focus on flexibility and responsiveness, ensuring tailored solutions that fit the unique needs of each client.

📋 Description

• Design, develop, maintain, and optimize data pipelines that support data integration, transformation, and analytics initiatives • Develop and maintain data models, data warehouses, and data structures that support reporting, business intelligence, and enterprise analytics • Extract, transform, validate, and load data from multiple source systems while ensuring data quality, integrity, consistency, and compliance with business requirements • Support the design, implementation, maintenance, and optimization of the organization’s data architecture and technology platforms • Develop, maintain, and optimize SQL queries, database objects, and data transformation processes to improve performance and scalability • Collaborate with Business Intelligence, Analytics, Technology, and business stakeholders to gather requirements and deliver data solutions that support business objectives • Support data quality initiatives by identifying, troubleshooting, and resolving data inconsistencies, duplicate records, and integration issues • Prepare and maintain technical documentation, data dictionaries, process documentation, and knowledge base resources to support ongoing operations and knowledge transfer • Communicate technical concepts, project updates, and data insights effectively to technical and non-technical stakeholders • Research and evaluate emerging technologies, tools, and best practices to improve data engineering capabilities and operational efficiency • Adhere to company policies and procedures • Meet or exceed performance targets for related KPIs • Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules • Collaborate with other departments as needed • Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Business Analytics, Data Science, or a related field preferred • Minimum of one (1) year of experience in data engineering, business intelligence, data analytics, data integration, or a related field preferred • Experience designing, developing, and supporting data pipelines, ETL/ELT processes, and data integration solutions • Strong proficiency with SQL and relational database management systems • Experience with Python or other scripting languages used for data engineering and automation is preferred • Experience with cloud-based data platforms, data warehouses, and modern data architecture concepts is preferred • Experience with data transformation, data modeling, data validation, and data quality management practices • Experience with business intelligence and data visualization platforms such as Looker, Looker Studio, Tableau, Power BI, or similar tools is preferred • Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret complex datasets and develop scalable data solutions • Strong written and verbal communication skills with the ability to communicate technical concepts effectively to technical and non-technical stakeholders • Strong organizational and time management skills with the ability to manage multiple priorities and deadlines in a fast-paced environment • Ability to work independently and collaboratively within a cross-functional team environment • Commitment to data quality, continuous improvement, operational excellence, and data-driven decision-making

🏖️ Benefits

• Competitive compensation designed to recognize your experience, contributions, and impact • Retirement Savings Program with Company Matching to help support your long-term financial goals • Life insurance coverage • HMO coverage starting on Day 1 • Free dependent coverage, with one (1) dependent covered upon regularization and a second (2) dependent added after one year of service • Paid time off plus birthday leave so you can rest, recharge, and celebrate your special day • Opportunities for skills training and personal and professional development to support your continued growth • Employee Referral Program with rewards for successful referrals