Job Description
Job Description
Role: Senior Data Engineer
Location: Onsite/USA-NC
Who are we looking for?
We’re seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).
Technical Skills:
- Lead the development, and maintenance of scalable data pipelines and ETL processes, ensuring data integrity and accessibility for business intelligence and advanced analytics.
- Manage robust data platforms on the AWS ecosystem, leveraging services like Glue, PySpark, Apache Iceberg, IAM, S3, and Secrets Manager to build a secure and efficient data infrastructure.
- Provide technical guidance and mentorship to a team of data engineers, fostering a culture of high performance and continuous learning.
- Utilize deep expertise in various RDBMS (e.g., MySQL, Db2, PostgreSQL, Snowflake) and different data formats (e.g., JSON, Parquet) to drive strategic data initiatives.
- Champion the adoption of modern data technologies such as Apache Iceberg with AWS Glue to optimize data lake performance and analytics capabilities.
- Apply advanced proficiency in Generative AI to automate and streamline data analysis, development, and documentation processes.
- Business Acumen and Stakeholder Communication
- Translate complex business challenges into clear, data-driven solutions, effectively communicating technical concepts and project progress to both technical and non-technical stakeholders, including senior leadership.
- Act as a key liaison between the data engineering team and different stakeholders.
- Experience in insurance domain preferrable
- AWS Data Engineering certification good to have
Key Responsibilities
- Lead the development of robust data pipelines, using your deep understanding of existing ETL frameworks to build scalable and efficient solutions.
- Analyze and understand diverse source systems and data formats to create and validate synthetic datasets for testing and development.
- Ensure Industry best practice is followed in all aspects of project.
- Leverage generative AI to enhance data analysis, accelerate development, Unit Testing and streamline documentation.
- Apply statistical analysis to large datasets, uncovering key patterns, identifying potential challenges, and generating actionable insights.
- Collaborate with business leaders and stakeholders to address the challenges.
Qualification:
- Somebody who has at least 10 plus years of data engineering experience has played a Senior Data Engineer role.
- Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
- Education qualification: Any degree from a reputed college
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.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
Job Description
Role: Senior Data Engineer
Location: Onsite/USA-NC
Who are we looking for?
We’re seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).
Technical Skills:
- Lead the development, and maintenance of scalable data pipelines and ETL processes, ensuring data integrity and accessibility for business intelligence and advanced analytics.
- Manage robust data platforms on the AWS ecosystem, leveraging services like Glue, PySpark, Apache Iceberg, IAM, S3, and Secrets Manager to build a secure and efficient data infrastructure.
- Provide technical guidance and mentorship to a team of data engineers, fostering a culture of high performance and continuous learning.
- Utilize deep expertise in various RDBMS (e.g., MySQL, Db2, PostgreSQL, Snowflake) and different data formats (e.g., JSON, Parquet) to drive strategic data initiatives.
- Champion the adoption of modern data technologies such as Apache Iceberg with AWS Glue to optimize data lake performance and analytics capabilities.
- Apply advanced proficiency in Generative AI to automate and streamline data analysis, development, and documentation processes.
- Business Acumen and Stakeholder Communication
- Translate complex business challenges into clear, data-driven solutions, effectively communicating technical concepts and project progress to both technical and non-technical stakeholders, including senior leadership.
- Act as a key liaison between the data engineering team and different stakeholders.
- Experience in insurance domain preferrable
- AWS Data Engineering certification good to have
Key Responsibilities
- Lead the development of robust data pipelines, using your deep understanding of existing ETL frameworks to build scalable and efficient solutions.
- Analyze and understand diverse source systems and data formats to create and validate synthetic datasets for testing and development.
- Ensure Industry best practice is followed in all aspects of project.
- Leverage generative AI to enhance data analysis, accelerate development, Unit Testing and streamline documentation.
- Apply statistical analysis to large datasets, uncovering key patterns, identifying potential challenges, and generating actionable insights.
- Collaborate with business leaders and stakeholders to address the challenges.
Qualification:
- Somebody who has at least 10 plus years of data engineering experience has played a Senior Data Engineer role.
- Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
- Education qualification: Any degree from a reputed college
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.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
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