Lead Data Engineer -2473 (Remote)
Chennai, India
CES
CES delivers high-quality solutions tailor-made to client-specific needs by bringing the best of consulting, operations, and technology expertise.
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/
Role Summary:We are looking for a Data Engineer to join our team. This role requires you to be a tech-savvy contributor in translating the customer needs and user expectations into interactive web apps. You’ll be an exceptional problem solver and take responsible actions in ensuring the application is optimized in technology and delivering the best user experience.
Responsibilities:Strong experience building data pipelines using Databricks and Spark
Proficiency with Python and SQL
Hands-on with Delta Lake, Databricks Workflows, and Job Clusters
Experience in data ingestion, transformation, and job optimization
Familiarity with Azure Data Factory, Azure Data Lake, and Git integration
Ability to troubleshoot and work independently with minimal supervision
Why CES :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.
Role Summary:We are looking for a Data Engineer to join our team. This role requires you to be a tech-savvy contributor in translating the customer needs and user expectations into interactive web apps. You’ll be an exceptional problem solver and take responsible actions in ensuring the application is optimized in technology and delivering the best user experience.
Responsibilities:Strong experience building data pipelines using Databricks and Spark
Proficiency with Python and SQL
Hands-on with Delta Lake, Databricks Workflows, and Job Clusters
Experience in data ingestion, transformation, and job optimization
Familiarity with Azure Data Factory, Azure Data Lake, and Git integration
Ability to troubleshoot and work independently with minimal supervision
Why CES :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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Leadership Jobs
Tags: Azure Consulting Databricks Data pipelines Engineering FinTech Git Pipelines Python Spark SQL
Perks/benefits: Flex hours
Regions:
Remote/Anywhere
Asia/Pacific
Country:
India
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