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PostgreSQL Database Specialist
1 month ago
Maneva Consulting Pvt. Ltd is seeking a skilled PostgreSQL Database Specialist to join our team. The ideal candidate will have strong experience in SQL with expertise in Database like PostgreSQL, preferably cloud hosted in any one or more cloud offerings like AWS, Azure, or GCP, or any cloud-based Data Warehouse like Snowflake, Azure Synapse.
Key Responsibilities:
- Design and implement efficient database architectures using PostgreSQL.
- Develop and maintain complex database pipelines and flows using Glue SSIS.
- Collaborate with cross-functional teams to understand data modeling techniques and work with OLTP and OLAP systems.
- Optimize database performance by fine-tuning stored procedures and queries.
- Develop and maintain data ingestion and analytics infrastructure.
- Communicate complex technical concepts to non-technical stakeholders.
Requirements:
- Strong experience in SQL with expertise in Database like PostgreSQL.
- Glue SSIS experience to build and maintain data pipelines and flows.
- Understanding of data modeling techniques and working knowledge with OLTP and OLAP systems.
- Deep knowledge of databases, stored procedures, and query optimization techniques.
- Experience with building infrastructure required for data ingestion and analytics.
- Ability to fine-tune report generating queries.
- Solid understanding of normalization and denormalization of data, database exception handling, transactions, profiling, queries, performance counters, debugging, database, and query optimization techniques.
- Understanding of index design and performance tuning techniques.
- Familiarity with SQL security techniques such as data encryption at the column level, Transparent Data Encryption (TDE), signed stored procedures, and assignment of user permissions.
- Experience in understanding the source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting.
- Adherence to standards for all database, e.g., Data Models, Data Architecture, and Naming Conventions.
- Exposure to source control like GIT, Azure DevOps.
- Understanding of Agile methodologies (Scrum, Kanban).
- Preferably experience with NoSQL database to migrate data into other types of databases with real-time replication.
- Experience with CI/CD automation tools (desirable).
- Programming language experience in Golang, Python, shells (bash/zsh, grep, sed, awk, etc.) (desirable).
- Competence in data preparation and/or ETL tools like SnapLogic, Matrikon, Azure Data Factory, AWS Glue, SSIS (preferably strong working experience in one or more) to build and maintain data pipelines and flows.
- Very good communication skills.
- Ability to easily fit into a distributed development team. Ability to manage timelines of multiple initiatives.
- Ability to articulate insights from the data and help business teams make decisions.
- Able to work with ambiguous requirements to seek clarity around uncertainty and to manage risks.
- Ability to communicate complex concepts to non-data audiences.