A career within Data and Analytics services offers the opportunity to help organizations uncover enterprise insights and drive business results using advanced data analytics. Our focus encompasses a range of organizational technology capabilities, including business intelligence, data management, and data assurance. We aim to help our clients foster innovation, growth, and transformation to adapt to the evolving landscape of customers and technology.

Key Responsibilities

• Collaborate with clients to leverage data for strategic decision-making.
• Develop and implement Rapid Business Intelligence Solutions, including data visualization and integrated reporting dashboards.
• Enable agile, interactive reporting and analytics to help clients manage their business more effectively.
• Understand business questions and provide insights using advanced data analytics.

Core Skills & Experience

• Proficient in statistical computer languages (e.g., Scala, Spark, Python) for data manipulation and analysis.
• Experience with large data sets and data architecture creation.
• Knowledge of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical applications.
• Hands-on experience with technologies such as Hive, Big Data platforms, Shell/Unix Scripts, and Control M.

Mandatory Skill Set

• Data Engineering

Preferred Skill Set

• Advanced proficiency in Scala, Spark, Python, Hive, Big Data platforms, Shell/Unix Scripts, and Control M.

Experience Required

• 2-7 years in relevant fields.

Qualifications

• BTech or equivalent degree.

Additional Information

• Desired Languages. Not specified.
• Travel Requirements. Not specified.
• Visa Sponsorship. Availability for work visa sponsorship is not specified.
• Government Clearance. Not required.

This refined description highlights the core responsibilities, required skills, and qualifications, providing a clear and professional overview of the role for potential candidates.