Teleforce- DBA / Database Engineer

Posted 21 Days Ago
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Gurugram, Haryana, IND
In-Office
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Operate and maintain production databases (PostgreSQL, MySQL, ClickHouse, Elasticsearch); design schemas, tune queries and performance, manage replication/HA, backups and DR, implement partitioning and ETL migrations, monitor via Prometheus/Grafana/ELK, automate with Python/shell, and troubleshoot high-QPS large-scale data systems.
Summary Generated by Built In

About the Role

We are looking for an experienced Database Administrator / Database Engineer to own and

manage our data infrastructure across PostgreSQL, MySQL, ClickHouse, and Elasticsearch. The

ideal candidate has hands-on experience managing reader/writer (primary-replica) architectures

under high data loads, ensuring high availability, performance, and reliability of mission-critical

databases.

Key Responsibilities

• Database Administration: Install, configure, administer, monitor, and upgrade production

databases across PostgreSQL, MySQL, ClickHouse, and Elasticsearch.

• Query Development & Optimization: Write complex PostgreSQL/MySQL queries and

optimize existing ones for performance at scale.

• Database Design: Design and optimize PostgreSQL/MySQL schemas for scalability and

maintainability.

• Indexing & Query Analysis: Define indexing strategies and analyze execution plans

(EXPLAIN/ANALYZE) to resolve slow queries.

• Performance Tuning: Tune query performance, buffer/cache settings, and connection

pooling (PgBouncer/ProxySQL) for high-QPS workloads.

• Partitioning & Archiving: Implement table partitioning and data archiving strategies for

large, fast-growing datasets.

• ETL & Data Migration: Plan and execute ETL and data migration for PostgreSQL/MySQL,

including source-to-target database/table schema mapping.

• Replication & High Availability: Design, configure, and manage reader/writer (primary-

replica) replication; monitor replication lag and troubleshoot failures; ensure HA and

failover using Patroni, Orchestrator, or managed cloud equivalents (AWS RDS/Aurora,

Azure Database for PostgreSQL/MySQL).

• Backup & Disaster Recovery: Implement and test PostgreSQL/MySQL backup and restore

(pg_dump, pgBackRest, Percona XtraBackup, snapshots), point-in-time recovery, and

cross-region DR strategies.

• ClickHouse & Elasticsearch: Manage ClickHouse clusters (MergeTree family, sharding,

replication, materialized views) and Elasticsearch clusters (ILM, shard allocation, mapping

design, cluster health under heavy load).

• Monitoring & Capacity Planning: Monitor database health and replication using

Prometheus, Grafana, pg_stat_statements, and Percona tools; handle capacity planning,

storage forecasting, and scaling.

• Connection Management: Manage PostgreSQL/MySQL connection pooling and proxy

layers (PgBouncer, ProxySQL, HAProxy).

• Cloud Administration: Administer PostgreSQL/MySQL on AWS (RDS/Aurora) and Azure

(Database for PostgreSQL/MySQL Flexible Server) — provisioning, read replicas, HA,

scaling, backups, and monitoring.

• Security: Enforce database security — access control, encryption, and audit logging.

• Troubleshooting: Diagnose and resolve production database issues quickly, including

during on-call rotations.

• Large-Scale Data Handling: Efficiently manage and query large datasets (hundreds of GBs

to TBs).

• Scripting & Automation: Use Python and/or Shell scripting to automate administration,

monitoring, and operational tasks.

• Collaboration: Support schema migrations and collaborate with development teams on

data modeling.

Required Skills & Experience

• 4–6 years of hands-on experience as a DBA/Database Engineer in production

environments.

• Strong expertise in PostgreSQL and MySQL installation, configuration, upgrades, and

administration.

• Ability to write and optimize complex PostgreSQL/MySQL queries.

• Strong database design and schema optimization skills.

• Proficiency in indexing strategy and execution plan analysis.

• Proven performance tuning experience (query, buffer/cache, connection-level).

• Hands-on experience with partitioning and archiving strategies.

• Experience with ETL and data migration, including schema mapping between source and

target systems.

• Proven experience managing reader/writer split (primary-replica) architectures with high

throughput.

• Working experience with ClickHouse (cluster setup, ingestion at scale, query optimization)

and Elasticsearch (cluster management, indexing pipelines, search tuning).

• Hands-on PostgreSQL/MySQL backup & restore experience (pg_dump, pgBackRest,

Percona XtraBackup, snapshots).

• Hands-on administration of PostgreSQL/MySQL on AWS and/or Azure managed database

services.

• Experience monitoring database health and replication using Prometheus, Grafana,

ELK/EFK.

• Strong understanding of connection management and pooling (PgBouncer, ProxySQL,

HAProxy).

• Demonstrated production troubleshooting ability.

• Experience handling large datasets efficiently (hundreds of GBs to TBs, high-QPS

workloads).

• Proficiency in Linux administration and shell scripting; Python scripting required.

Good to Have

• Experience with GCP Cloud SQL or self-managed databases on EC2/GCE/Azure VMs.

• Exposure to Kafka or other streaming pipelines feeding ClickHouse/Elasticsearch.

• Knowledge of Redis or other caching layers.

• Experience with Infrastructure as Code (Terraform, Ansible) and containerized databases

(Docker, Kubernetes operators).

• Understanding of data warehousing and OLAP vs OLTP workload separation.

What We Offer

• Opportunity to work on large-scale, high-load data systems powering enterprise-grade

products.

• Health insurance, flexible working hours, and a dedicated learning & development budget.

Skills Required

  • 4-6 years of hands-on experience as a DBA/Database Engineer in production environments
  • Strong expertise in PostgreSQL and MySQL installation, configuration, upgrades, and administration
  • Ability to write and optimize complex PostgreSQL/MySQL queries
  • Database design and schema optimization skills for scalability and maintainability
  • Proficiency in indexing strategies and execution plan analysis (EXPLAIN/ANALYZE)
  • Performance tuning experience (query tuning, buffer/cache settings, connection-level tuning)
  • Hands-on experience with partitioning and data archiving strategies
  • Experience with ETL and data migration including source-to-target schema mapping
  • Proven experience managing reader/writer (primary-replica) architectures with high throughput; monitor and troubleshoot replication
  • Experience ensuring HA and failover using Patroni, Orchestrator, or managed cloud equivalents (AWS RDS/Aurora, Azure Database services)
  • Working experience with ClickHouse cluster setup, ingestion at scale, and query optimization
  • Working experience managing Elasticsearch clusters, ILM, shard allocation, mapping design, and search tuning
  • Hands-on PostgreSQL/MySQL backup and restore (pg_dump, pgBackRest, Percona XtraBackup, snapshots) and point-in-time recovery
  • Hands-on administration of PostgreSQL/MySQL on AWS and/or Azure managed database services
  • Experience monitoring database health and replication using Prometheus, Grafana, and ELK/EFK (and related tools)
  • Strong understanding of connection management and pooling (PgBouncer, ProxySQL, HAProxy)
  • Demonstrated production troubleshooting ability, including on-call rotations
  • Experience handling large datasets efficiently (hundreds of GBs to TBs) and high-QPS workloads
  • Proficiency in Linux administration and shell scripting
  • Python scripting for automation of administration and operational tasks
  • Experience with pg_stat_statements and Percona monitoring/diagnostic tools
  • Experience with indexing pipelines and search tuning for Elasticsearch under heavy load
  • Knowledge of backup, DR, and cross-region disaster recovery strategies
  • Experience designing and optimizing schemas specifically for PostgreSQL/MySQL for scalability
  • Ability to plan and execute schema migrations collaboratively with development teams
  • Experience with high-availability and failover testing and validation
  • Experience with connection pooling and proxy layers for high-QPS workloads
  • Experience with capacity planning, storage forecasting, and scaling database infrastructure
  • Experience with ETL pipelines feeding analytical stores like ClickHouse/Elasticsearch
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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