Data Engineering

Job Description

Roles: - Data Engineering

Job Summary –

Python, SQL and Databricks

Years of experience needed –

5+ years of experience

Technical Skills

• 5 years of hands-on experience in data engineering and analytics
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team

Certification

• Any degree or equivalent.

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers.

Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

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