Database Engineer

50 minutes ago


Bengaluru, Karnataka, India Econz IT Services Private Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Econz

Econz was established in the year 2006, headquartered in Bengaluru, Karnataka, India. We are

a Google Cloud Premier Partner and one of the top System Integrators for technologies like

Google Workspace, Chrome Enterprise, Google Cloud Platform and Google for Education.

Econz also has offices in the U.K. and U.A.E. We serve more than 2,500 customers and help

businesses through their journey of digital transformation with cloud technologies.

We are small giants with an Intellectually curious, a bias for action, and a customer-centric

team. We have a High-Trust, High-Performance CultureTM. Our HR policies have three P's at

their core: People, Processes, and Psychology.

Join us, make your mark, and grow with us

Role overview

We are seeking a skilled Engineer to manage, deploy, and support database infrastructure

across cloud and on-premises environments. The role requires expertise in database

administration, implementation, performance tuning, and cloud infrastructure management.

The ideal candidate should have a strong background in SQL, NoSQL databases, Linux system

administration, and cloud native Database services (AWS / GCP / Azure).

Key Responsibilities:

  • Install, configure, and manage SQL, NoSQL databases (MySQL, PostgreSQL, MongoDB,

MS SQL, MongoDB Atlas etc) cloud environments like GCP, AWS.

  • Support Database modernization and migration of on-prem workloads to cloud or

hybrid platforms.

  • Champion modern database technologies like AlloyDB, Spanner, Firestore, Bigtable,

Aurora, Cosmos DB, Vector DB, and AI-powered platforms.

  • Support production database environment availability, stability, performance, and

security.

  • Support database migrations, version upgrades, and patching activities.
  • Develop and maintain backup and disaster recovery plans to ensure data integrity

and business continuity.

  • Tune SQL queries, indexes, and schema to support low-latency workloads at scale.

Work with public cloud OEM engineers to optimize data models, migrations, and query

patterns.

  • Document procedures, create technical runbooks, and contribute to continuous

improvement initiatives

  • Participate in incident response and on-call rotations, responding promptly to alerts

and handling major incidents.

  • Collaborate with cloud engineers and DevOps teams to automate deployment and

monitoring using tools like Terraform, Jenkins, or Ansible.

Required Skills:

  • Bachelor's degree in Computer Science, IT, or related field.
  • 3–5 years of hands-on experience in database administration and implementation.

  • Certifications in Professional Cloud Database Engineer or Azure Database

Administrator Associate or AWS Database Specialty

  • Advanced SQL programming skills and hands-on experience with query optimization

& index tuning.

  • Strong scripting skills in Python, Bash from a Database perspective.
  • Experience managing databases in public cloud environments (GCP, AWS, Azure).
  • Strong problem-solving and debugging skills; ability to deep dive into performance

issues.

  • Knowledge of database replication, clustering, failover, and backup mechanisms.
  • Experience with caching systems (Redis, ElastiCache).
  • Experience migrating production databases from on-premises to cloud platforms.
  • Strong understanding of security best practices, access controls, firewalls, encryption,

and disaster recovery plans.

  • Basic understanding of fundamental networking concepts such as virtual networks, IP

addressing, and subnetting

  • Excellent customer facing communication and documentation skills.
  • Ability to work independently and as part of a cross-functional team.

Preferred Skills:

  • Familiarity with infrastructure as code (Terraform) for Database
  • Exposure to data warehousing (BigQuery, Redshift, Synapse Analytics)
  • Experience in Data ETL/ELT pipeline implementation
  • Familiar with containerized database deployments (Docker, Kubernetes).
  • Knowledge of industry-specific compliance standards to ensure data privacy and

security.


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