Lead Data Engineer-2183 (Remote)

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.  

You can learn more about us at: http://www.cesltd.com

• 7+ years of experience in data engineering.
• Demonstrated experience of building and supporting large scale data pipelines - streaming and batch processing.
• Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability.
• Proficiency in Python, SQL, Postgres.
• Experience in Snowflake, DBT, Docker, Kubernetes.
• Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus.
• Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery.
• Knowledge of data modeling techniques (3NF, Dimensional, Vault).
• Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation.

• Demonstrated experience of building and supporting large scale data pipelines - streaming and batch processing.
• Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability.
• Proficiency in Python, SQL, Postgres.
• Experience in Snowflake, DBT, Docker, Kubernetes.
• Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus.
• Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery.
• Knowledge of data modeling techniques (3NF, Dimensional, Vault).

• Flexible working hours to create a work-life balance.
• Opportunity to work on advanced tools and technologies.
• Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
• Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
• Periodical and on-spot rewards and recognitions on your performance.
• Provides a better platform for enhancing skills via many different L&D programs.
• Enabling and empowering atmosphere to work along.