Position: Senior PostgreSQL DBA
Company: GlobalLogic
Experience required: 3y
Category: SQL
English level: intermediate
Published: 2021-07-01T00:00:00+03:00

Project Software helps leading companies around the world put technology at the forefront of business transformation, improving the delivery and consumption of digital services. 
From mainframe to cloud to mobile, Project delivers innovative IT management solutions that have enabled more than 15,000 customers to leverage complex technology into extraordinary business performance –
increasing their agility and exceeding anything they previously thought possible.  
Thanks to our ongoing expansion we have the opportunity to grow our Site Reliability Engineering team. We’re looking for people who are just as passionate about solving issues with distributed systems as they are to automate, code and collaborate to tackle problems.

Requirements:
We are looking for a passionate and highly experienced PostgreSQL DBA to help build the next-gen data migration and Automation platform on the cloud and assist on-Prem to AWS migrations from SQL Server and Oracle DB to PostgreSQL.

You have strong experience with PostgreSQL and it has been your primary database for a minimum of 3-5 years
Deep understanding of systems performance of PostgreSQL, and advanced knowledge of Postgres internals 
Understand automation concepts to speed up the work Using Ansible 
Experience implementing high availability by setting up either streaming replication or logical replication and decoding 
Expertise implementing Foreign Data Wrappers to sync data across multiple PostgreSQL servers and Advanced query tuning for large data sets
Knows how to optimize queries/schemas 
Knows backup solutions and strategies 
Knows HA solutions and strategies 
Knows proxy usage as it relates to Postgres 
Ability to troubleshoot methodically, identifying and applying fixes for known errors, and when necessary, capacity to think outside of the box to resolve complex issues 
Experience with system performance counters and metrics relevant to the operation of high-concurrency PostgreSQL implementations, and resolve database performance and scalability issues.

Responsibilities:
You will be responsible for implementation, configuration, maintenance, and performance of system health for high-concurrency PostgreSQL database systems ensuring availability and consistent performance, supporting product development teams.
Build high-scale data pipelines and data infrastructure for migrating SQLServer and Oracle DB to PostgreSQL on AWS RDB.
Specific experience in complex large data architectures using AWS Aurora PostgreSQL and AWS data lake (S3 and Glue) with IAM roles and KMS key encryption. 
Resolve database performance and scalability issues and implement Performance Tuning and Optimization (PTO), using native monitoring and troubleshooting tools. 
Design and implement scalable database schemas and configurations, File system layout, Physical partitioning, Sharding and Replication, incremental backups, Restores, and recovery models. 
Implement High Availability (HA) and Disaster Recovery (DR) options for PostgreSQL 
Develop DevOps policies and procedures as it relates to PostgreSQL 
Manage PostgreSQL databases through multiple product lifecycle environments, from development to mission-critical production systems dealing with upgrades. 
Independently analyzes, solves, and corrects issues in real-time, providing problem resolution end-to-end. 
Refines and automates regular processes, tracks issues, and documents changes. 
Assists developers with complex query tuning and schema refinement. 
Provides on-call support, as part of team rotation, for critical production systems. 
Performs pre-scheduled maintenance and support release deployment activities after hours. 
Shares domain and technical expertise, providing technical mentorship and cross-training to other peers and team members. 
Design and implement a complex system to combine and merge data from multiple database servers into a target database. 
Create complex queries to produce materialized views collating data from multiple servers based on which server is deemed authoritative for each record. 
Tune performance of source and target servers to ensure performance is maintained even after replication/merge engine is added.