Career Opportunities: Data Engineer

Company Overview

Incedo is a US-based consulting, data science, and technology services firm with over 3000 people helping clients from our six offices across the US, Mexico, and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, banking, wealth management, product engineering, and life science & healthcare industries.

Working at Incedo will provide you an opportunity to work with industry-leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect, or a domain expert based on your skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by:

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

• Design, develop, and optimize data pipelines to extract, transform, and load (ETL/ELT) data from a variety of sources.
• Build and manage data models and data warehouses that support business intelligence, reporting, and analytics needs.
• Leverage cloud technologies such as AWS, Azure, or Google Cloud Platform for building scalable, reliable, and efficient data solutions.
• Develop and maintain automated data workflows using tools like Airflow, AWS Glue, Azure Data Factory, or similar technologies.
• Work with large datasets and complex data structures, ensuring data quality, integrity, and performance.
• Write and optimize SQL queries for complex data extraction, aggregation, and transformation tasks.
• Integrate APIs to connect data sources, extract information, and facilitate real-time data processing.
• Collaborate with business intelligence and data science teams to define data requirements and ensure the availability of clean, accurate data for analysis and decision-making.
• Implement CI/CD pipelines for automated deployment of data pipelines and models.
• Monitor the performance of data systems, ensuring reliability, availability, and scalability of data architectures.
• Create and maintain comprehensive documentation for data pipelines, systems, and processes.
• Stay up to date with emerging trends and technologies in the data engineering field and continuously improve data systems.

• Solid experience as a Data Engineer or similar role in data architecture and pipeline development.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Advanced knowledge of ETL/ELT processes, data modeling, and data warehousing (e.g., Snowflake, Redshift).
• Proficiency in SQL for complex data transformation and querying.
• Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Apache Airflow, AWS Glue, or similar.
• Strong programming skills in Python for automation, data processing, and integration tasks.
• Experience working with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Familiarity with GitHub for version control and CI/CD pipelines for deployment automation.
• Strong understanding of data security, governance, and compliance best practices.
• Experience with business intelligence tools such as Tableau, Power BI, or similar for reporting and data visualization.
• Ability to work in an agile, fast-paced environment and manage multiple tasks simultaneously.

• Masters degree in computer science, Engineering, Data Science, or related field.
• Experience with real-time data streaming platforms such as Kafka or AWS Kinesis.
• Exposure to machine learning and AI technologies and how data engineering supports these initiatives.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Knowledge of data lake architectures and modern data processing frameworks.
• Experience with Tableau for building reports, dashboards, and visual analytics.

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.