Data Engineering

Mphasis; North Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

Mphasis is seeking a Data Engineer to design, implement, and maintain data solutions that support business objectives. The role requires strong DBA fundamentals, data modeling, and hands-on engineering of ETL processes for reliable data availability and security.

You will collaborate with cross-functional teams including data scientists and analysts, ensuring data integrity and scalable data architectures across cloud and on-prem environments.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Information Technology, or related field.
• Strong DBA principles and data modeling skills.
• Hands-on data engineering experience and understanding of data pipelines.
• Proficient in SQL and NoSQL databases; able to write efficient queries.
• Experience with ETL tools and data integration techniques.
• Understanding of data warehousing concepts and architectures.
• Strong analytical, problem-solving, and collaboration abilities.

Responsibilities

• Design and implement robust data models for analytics and reporting.
• Develop and optimize ETL processes for data flow and transformation.
• Administer and optimize databases for performance and reliability.
• Collaborate with data scientists and analysts to fulfill data requirements.
• Implement data governance and security measures for data protection.
• Monitor and troubleshoot data pipelines and database performance.

Skills

DBA principles

Data modeling

Data engineering

SQL/NoSQL

ETL tools

Data warehousing

Query optimization

Education

Bachelor's degree in CS/IT or related field

Tools

AWS

Azure

Google Cloud

Tableau

Power BI

Oracle

S3 API/ object storage

Job description

Job Title: Data Engineer

Designation: Data Engineering

Location: Mph-ClientSite, North Carolina, US

Job Summary

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess a strong foundation in Database Administration (DBA), Data Modeling, and Data Engineering. This role is critical in designing, implementing, and maintaining data solutions that support our business objectives. The Data Engineer will work closely with cross-functional teams to ensure data integrity, availability, and security.

Responsibilities

• Design and implement robust data models to support business analytics and reporting needs.
• Develop and maintain ETL processes to ensure efficient data flow and transformation.
• Administer and optimize databases to ensure high performance and reliability.
• Collaborate with data scientists and analysts to understand data requirements and provide necessary data solutions.
• Implement data governance and security measures to protect sensitive information.
• Monitor and troubleshoot data pipelines and database performance issues.

Mandatory Skills

• Strong knowledge of Database Administration (DBA) principles and practices.
• Proficiency in Data Modeling techniques and tools.
• Hands-on experience with Data Engineering processes and technologies.
• Familiarity with SQL and NoSQL databases.
• Experience with ETL tools and data integration techniques.
• Understanding of data warehousing concepts and architectures.
• Ability to write efficient queries and optimize database performance.

Preferred Skills

• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Understanding of machine learning concepts and their application in data engineering.
• Experience with programming languages such as Python or Java.

Key Responsibilities For The Data Engineer

• Optimize data pipelines that read from Kinesis and Write into Oracle improve exception handling for schema/data type mismatches and implement ing for data quality issues.
• Build services to read/write data to NetApp object store using the S3 API.
• Create analytical datasets in Parquet or Iceberg format.
• Develop housekeeping scripts for cleanup, archiving, and compression of logs, Object store files.

Core Skill Requirements

• Strong Python/Java and data engineering expertise.
• Experience building and deploying data pipelines using frameworks like Spark, Flink and understanding of distributed data systems.
• Hands-on experience with real-time streaming architectures, REST APIs, and database connectors.
• Proficient with and Relational Databases (e.g. Oracle).
• Experience working with Amazon S3 APIs for data storage and integration.

Preferred (nice-to-have)

• Experience with Apache Iceberg.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in Database Management or Data Engineering are a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced 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. 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 [e-mail] and let us know your contact information and the nature of your request.