Data Engineer-CCB Ramp up - Cards-Bangalore

Data Engineer-CCB Ramp up - Cards-Bangalore

Job Description: Data Engineer (Scala, Python, EMR Mandatory)

Role: Data Engineer
Experience: 6-15 Years
Location: Bangalore
Employment Type: Full Time

Job Summary

We are seeking a highly skilled Data Engineer with strong expertise in Scala, Python, and Amazon EMR to design, develop, and optimize large-scale data processing solutions. The ideal candidate should have hands-on experience in building robust ETL pipelines, big data processing, and cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Scala and Python.
• Build and optimize batch and real-time data processing solutions using Apache Spark on Amazon EMR.
• Develop ETL/ELT workflows for ingesting, transforming, and loading large volumes of structured and unstructured data.
• Work with AWS services including S3, Glue, Lambda, CloudWatch, and IAM.
• Optimize Spark jobs for performance, scalability, and reliability.
• Implement data quality, monitoring, and governance standards.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to understand data requirements.
• Troubleshoot production issues and provide timely resolutions.
• Ensure adherence to security, compliance, and data management best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in Data Engineering and Big Data technologies.
• Strong programming skills in Scala and Python.
• Hands-on experience with Amazon EMR and Spark-based data processing.
• Experience with distributed computing and large-scale data platforms.
• Strong SQL development and query optimization skills.
• Experience working with AWS cloud services.

If you are passionate about software development and possess the required skills, we invite you to apply for this exciting opportunity to contribute to innovative projects in a collaborative environment.

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.

Equal Opportunity Employer:

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.
Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.