Data Engineer I - India

Responsibilities include, but not limited to:

• The Ideal candidate will be responsible for Designing, Developing and maintaining data pipelines.

• Serving as a core member of an agile team that drives user story analysis and elaboration, designs and develops responsive web applications using the best engineering practices

• You will closely work with data scientists, analysts and other partners to ensure the flawless flow of data.

• You will be Building and optimize reports for analytical and business purpose.

• Monitor and solve data pipelines issues to ensure smooth operation.

• Implementing data quality checks and validation process to ensure the accuracy completeness and consistency of data

• Implementing data governance policies , access controls , and security measures to protect critical data and ensure compliance.

• Developing deep understanding of integrations with other systems and platforms within the supported domains.

• Bring a culture of innovation, ideas, and continuous improvement.

• Challenging status quo, demonstrate risk taking, and implement creative ideas

• Lead your own time, and work well both independently and as part of a team.

• Adopt emerging standards while promoting best practices and consistent framework usage.

• Work with Product Owners to define requirements for new features and plan increments of work.

Minimum Qualifications

• BS or MS degree in computer science, computer engineering, or other technical subject area or equivalent 3-4 years of work experience

• At least 5 year of hands-on experience with SQL, including schema design, query optimization and performance tuning.

• Experience with distributed computing frameworks like Hadoop, Hive , Spark for processing large scale data sets.

• Proficiency in any of the programming language python, pyspark for building data pipeline and automation scripts.

• Understanding of cloud computing and exposure to any cloud GCP, AWS or Azure.

• knowledge of CICD, GIT commands and deployment process.

• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize data processing workflows

• Excellent communication and collaboration skills.