Benefits:

• Challenging Projects

• Entrepreneurial Team

• Autonomy in Work

• Learning Sessions

• Networking events

Education Requirements:

• Bachelor's degree in Computer Science Technology, or a related field

• Master's degree in Computer Science Technology or computer application is an added advantage

Experience Requirements:

• 3-6 years of experience in Data Engineering, Database management, Data structures & ETL development

Responsibilities:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, EMR/Snowflake, Redshift/Bigquery and AWS/GCP ‘big data’ technologies.

• Maintaining the high volume and compute data pipelines and ensuring that process is not interrupted

• Hands on Hadoop, SPARK and other relevant Big Data technologies

• Develop algorithms to transform data into useful, actionable information

• Build, test, and maintain database pipeline architectures

Benefits:

• Challenging Projects

• Entrepreneurial Team

• Autonomy in Work

• Learning Sessions

• Networking events

Education Requirements:

• A Master's or Bachelor's degree in Engineering, or a related field such as MCA/B.tech/MTech/ME/PhD is required

Experience Requirements:

• 3-6 years of hands-on experience in data analytics in a fast paced organization

Responsibilities:

• Get hands-on with data to solve complex business problems, brainstorm with team/stakeholders for efficient solutioning

• Translate the business problem into an analytical problem

• Strong hands-on experience with SQL and Python and PYSPARK (Preferred)

• Strong Expertise in manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.

• Define key metrics for business functions that help in streamlining their operations and drive improvements