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Senior Analyst-Data Engineer
Allianz Partners
posted 2hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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.
Key Responsibilities:
- 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.
- 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.
- Performance Monitoring and Optimization:
- Monitor database performance and optimize query execution for maximum efficiency.
- Troubleshoot and resolve database-related issues.
- 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.
- 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.
- Collaboration and Documentation:
- Collaborate with developers and other IT staff to ensure database systems meet business requirements.
- Document database processes and procedures.
- Additional Responsibilities:
- Evaluate business needs and objectives.
- Interpret trends and patterns.
Qualifications:
- Education: Bachelor s degree in Computer Science, Information Technology, or a related field.
- Experience: 06-09 years of experience as a Database Administrator/Architect, with specific experience in PostgreSQL and MongoDB along with good Python skills.
- Technical 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.
- Knowledge of data integrity and security best practices.
- Proficient in developing backup and recovery procedures.
- Ability to analyze and organize raw data and build data systems and pipelines.
- Experience in conducting complex data analysis and building ETL solutions.
- Agile Methodology
- Good to have knowledge about the Vulnerability management
- Soft Skills:
- Excellent problem-solving and troubleshooting skills.
- Strong collaboration and communication skills.
- Ability to document database processes and procedures clearly.
Job description Data Engineer / Data Scientist (Experiences 6-9 years)
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.
Key Responsibilities:
- 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.
- 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.
- Performance Monitoring and Optimization:
- Monitor database performance and optimize query execution for maximum efficiency.
- Troubleshoot and resolve database-related issues.
- 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.
- 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.
- Collaboration and Documentation:
- Collaborate with developers and other IT staff to ensure database systems meet business requirements.
- Document database processes and procedures.
- Additional Responsibilities:
- Evaluate business needs and objectives.
- Interpret trends and patterns.
Qualifications:
- Education: Bachelor s degree in Computer Science, Information Technology, or a related field.
- Experience: 06-09 years of experience as a Database Administrator/Architect, with specific experience in PostgreSQL and MongoDB along with good Python skills.
- Technical 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.
- Knowledge of data integrity and security best practices.
- Proficient in developing backup and recovery procedures.
- Ability to analyze and organize raw data and build data systems and pipelines.
- Experience in conducting complex data analysis and building ETL solutions.
- Agile Methodology
- Good to have knowledge about the Vulnerability management
- Soft Skills:
- Excellent problem-solving and troubleshooting skills.
- Strong collaboration and communication skills.
- Ability to document database processes and procedures clearly.
Employment Type: Full Time, Permanent
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4%
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What people at Allianz Partners are saying
Senior Analyst salary at Allianz Partners
reported by
4
employees
with 4-8
years exp.
₹3.6
L/yr - ₹5.6
L/yr
42%
less
than the average Senior Analyst Salary in India
View more details
What Allianz Partners employees are saying about work life
based on 388 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Allianz Partners Benefits
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