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Senior Database Support Engineer

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Onsite

Senior Database Support Engineer

Finclutech FZO

Senior Database Support Engineer

Skills

Big DataMongoDBPythonPostgreSQLMySQLRedisData AnalysisHadoopChange ManagementJavascript

16 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Dubai - United Arab Emirates

Work mode:

Onsite

Published on:

5 October 2026

What they need


Position Summary:-

We are seeking a seasoned and highly analytical Senior Database Support Engineer to ensure the performance, availability and security of our database environments across MySQL, PostgreSQL and NoSQL platforms. The ideal candidate combines deep technical expertise with strong troubleshooting ability and is confident supporting Development, Infrastructure, DevOps and Data/Analytics teams in a fast-paced production environment.

This role requires someone who can resolve complex production issues, drive root cause analysis and support modern data platforms, while keeping database operations stable, secure and compliant.

Employment Type: Full-time/Onsite

Coverage: Extended-hours / on-call rotation across multiple regional markets

Key Responsibilities:-

  • Provide database support to Development, Infrastructure, DevOps, and Data/Analytics teams across MySQL, PostgreSQL, and NoSQL (MongoDB, Couchbase) environments
  • Act as Level 2 escalation for database-related production incidents; lead root cause analysis (RCA) and drive corrective/preventive actions to closure
  • Install and configure MySQL (InnoDB and NDB Cluster storage engines), set up and maintain replication, and resolve replication issues
  • Review, validate, and advise on schema changes, stored procedures, functions, and triggers submitted by development teams; guide developers on query and indexing optimization
  • Monitor database health, performance, capacity, and availability; proactively identify risks and apply corrective actions including configuration tuning and workload analysis
  • Support and maintain MinIO/S3-compatible object storage — bucket management, access policies, lifecycle rules, and integration with data pipelines and archival processes
  • Support data lakehouse environments integrating relational databases, object storage, and query engines (Apache Spark, Apache Iceberg, Dremio, Trino); assist Data/Analytics teams with ingestion, transformation, and archival workloads
  • Implement and maintain database security controls — access management, privileges, authentication, and encryption; perform regular audits, integrity checks, and access reviews
  • Execute and validate backup and recovery procedures; support BC/DR planning, testing, and contingency activities
  • Review and support database changes across Dev, Test, Pre-Production, and Production environments per change management procedures
  • Maintain documentation of configurations, support procedures, change records, and operational runbooks aligned to organisational standards

Qualifications & Experience:-

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 6 + years of combined experience in database development and/or database support roles.
  • Strong proficiency in developing stored procedures, functions, triggers, and ETL processes.
  • Strong expertise in configuring and maintaining database software across production and non-production environments.
  • Expertise in MySQL and PostgreSQL databases.
  • Expertise in MongoDB or Couchbase databases.
  • Expertise in implementing and managing Redis caching solutions.
  • Hands-on experience with MinIO or S3-compatible object storage — bucket management, access policies (IAM), lifecycle rules, and data archival integration.
  • Knowledge of data lakehouse concepts and tooling — Apache Iceberg / Delta Lake table formats, query engines such as Dremio, Trino, or Apache Spark, and metadata catalogue services (e.g., Project Nessie).
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of data warehouse technologies.
  • Experience in performance tuning and optimisation.
  • Good knowledge of backup and recovery procedures.
  • Knowledge of programming languages such as Python or JavaScript.
  • Excellent problem-solving and troubleshooting skills.
  • Ability to work collaboratively in a team environment.
  • Strong communication skills

Application Question(s):

  • Do you have hands-on experience supporting MySQL and PostgreSQL in production environments?
  • Have you worked hands-on with MongoDB or Couchbase?
  • Have you acted as an L2/L3 escalation point for production database incidents and led root cause analysis (RCA)?
  • Do you have experience with MinIO or S3-compatible object storage?
  • Have you worked with any of these: Apache Spark, Trino, Dremio, Apache Iceberg, Hadoop?
  • Are you comfortable with on-call support or rotational shifts for production issues?
  • What is your Current salary, expected monthly salary (AED) & notice period ?

Work Location: In person

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