Lead Data Engineer

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage throughend-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, anddesign capabilities coupled with deep domain understanding. We combine services and products to maximizebusiness 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, deeptechnology and domain experts, and global teams. Incedo University, our learning platform, provides amplelearning opportunities starting with a structured onboarding program and carrying throughout various stages ofyour career. A variety of fun activities is also an integral part of our friendly work environment. Our flexiblecareer paths allow you to grow into a program manager, a technical architect or a domain expert based on yourskills 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

As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.

Responsibilities
Lead and support the delivery of data platform modernization projects.Design and develop robust and scalable data pipelines leveraging AWS native services.Optimize ETL processes, ensuring efficient data transformation.Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.Design automations and integrations to resolve data inconsistencies and quality issues Perform system testing and validation to ensure successful integration and functionality.Implement security and compliance controls in the cloud environment.Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.

7+ years experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.Experience with streaming and batch data pipeline/engineering architectures.Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.Hands-on experience with Databricks and a willingness to grow capabilities.Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).Strong problem-solving and analytical skills.Knowledge of Dataiku is neededGraduate/Post-Graduate degree in Computer Science or a related field.