Senior Data Engineer

About the Company: NeuIQ is a new-age technology services firm specializing in solving enterprise business transformation and experience challenges through cutting-edge, AI-powered data and technology solutions. At the core of our vision is building a scalable and profitable technology implementation business with data engineering as its foundation. Our

expertise lies in implementing enterprise SaaS platforms such as Qualtrics, ServiceNow,

Snowflake, and Databricks, enabling organizations to unlock actionable insights and

maximize the value of their AI and technology investments. With innovation, integrity, and

a future-ready mindset, NeuIQ is committed to empowering enterprises to stay relevant,

impactful, and ahead in today's dynamic landscape.

About the Role: We are seeking an experienced Data Engineer to design, develop, and maintain large-scale data solutions. The role involves working with structured and unstructured data, implementing data pipelines, and optimizing database systems to support business intelligence, analytics, and reporting needs. You will collaborate with cross-functional teams to translate business requirements into scalable technical solutions, leveraging cloud technologies and modern data engineering tools. The Data Engineer will play a crucial role in developing and maintaining data solutions that support various business functions.

Responsibilities:

• Design, develop, and maintain data pipelines for data acquisition, transformation, and integration.
• Work with structured and unstructured data for large-scale data warehousing and analytics solutions.
• Implement data models (relational, star, snowflake schemas) and integrate new data sources into existing architecture.
• Utilize cloud-based technologies (e.g., Google Cloud Platform, BigQuery, Airflow) for data processing and management.
• Optimize SQL queries, scripts, and data workflows for performance and scalability.
• Collaborate with stakeholders to gather data requirements and ensure solutions meet business needs.
• Maintain high standards of data quality, security, and compliance.
• Support reporting and BI tools, enabling business teams to access actionable insights.
• Work within Agile/Scrum methodologies using tools like JIRA.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or related field

Required Skills:

• 8+ years of experience in data warehousing development, data acquisition, transformation, and cleaning
• 4+ years of experience with cloud-based technologies such as Google Cloud Platform, Airflow, and BigQuery
• Proficiency in SQL scripting and optimization of complex queries.
• Strong experience in data modeling, including relational, star, and snowflake schemas
• Proficiency in programming languages such as Python and UNIX shell scripting
• Experience with reporting, database environments, and OLAP business intelligence applications
• Familiarity with Agile/Scrum tools such as JIRA
• Strong analytical and problem-solving skills with the ability to map business needs to technical requirements
• Excellent verbal and written communication skills, with the ability to work effectively with technical and non-technical stakeholders
• Telecom industry knowledge is a plus
• Ability to work independently with minimal oversight and manage multiple priorities in a fast-paced environment
• Availability to work during EST business hours

Equal Opportunity Statement: NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.