Data Engineer

Good day,

Data Engineer

Job Role:

Job Location:

Experience-

Notice Period:

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Overall Objectives of Job:

We are seeking a skilled and motivated Data Engineer / Data Scientist to join our team. The ideal candidate will have a strong background in data engineering and data science, with experience in building and maintaining scalable data pipelines, analyzing complex data sets, and deriving actionable insights to drive business decisions. This role also requires strong PostgreSQL, MongoDB, Python, and Ansible development skills to support automation and data integration tasks.

Responsibilities:

1. Data Engineering:

• Design, build, and maintain scalable and robust data pipelines to support data integration and data warehousing.
• Develop and optimize ETL processes to ingest, clean, and transform data from various sources like Qualys, CMDB, etc.
• Ensure the reliability, availability, and performance of data systems.

1. Data Management:

• Manage and maintain data architecture, data models, and data schemas.
• Implement and maintain data governance and data quality standards.
• Work with relational and NoSQL databases, ensuring data integrity and security.

1. Performance Monitoring and Optimization:

• Monitor database performance and optimize query execution for maximum efficiency.
• Troubleshoot and resolve database-related issues.

1. Data Integrity and Security:

• Ensure data integrity and security, including managing user access and permissions.
• Develop and implement backup and recovery procedures to minimize data loss in the event of hardware or software failure.

1. Cloud-Based Database Management:

• Manage cloud-based databases on platforms like AWS, Azure, and Google Cloud Platform.
• Keep up-to-date with the latest PostgreSQL/MongoDB releases, features, and patches.

1. Collaboration and Documentation:

• Collaborate with developers and other IT staff to ensure database systems meet business requirements.
• Document database processes and procedures.

1. Additional Responsibilities:

• Evaluate business needs and objectives.
• Interpret trends and patterns.

Primary Skills:

• Proficiency in PostgreSQL and MongoDB.
• Strong skills in Python and Ansible for development and automation.
• Familiarity with cloud-based database management (AWS, Azure, Google Cloud Platform).
• Experience in creating and managing databases, tables, and indexes.
• Strong understanding of database performance monitoring and optimization.

Secondary Skills:

• Excellent problem-solving and troubleshooting skills.
• Strong collaboration and communication skills.
• Ability to document database processes and procedures clearly.

This job description provides a comprehensive overview of the expectations and requirements for the Data Engineer / Data Scientist role, ensuring clarity for potential candidates.

If you find this opportunity interesting kindly share your below details (Mandatory)

• Total Experience

• Experience in SQL –

• Experience in Python–

• Experience in Azure Data Lake –

• Experience in Databricks–

• Current CTC –

• Expected CTC–

• Notice period–

• Current Location-

If you had gone through any interviews in Synechron before? If Yes when

Regards,

Recruitment Team, Pune.