DBA DATA Engineer || 12 Lakhs CTC

Dear Candidate,

We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments.

Requirements:

• Bachelors degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in database administration and data engineering.
• Proven expertise in RDBMS (

  Oracle

  ,

  MySQL

  , and

  PostgreSQL

  ) and NoSQL systems (MongoDB, Cassandra).
• Experience managing databases in cloud environments (

  AWS

  ,

  Azure

  , or

  GCP

  ).
• Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue).
• Strong experience with scripting languages such as

  Python

  ,

  Bash

  , or

  PowerShell

  .

DBA Data Engineer Roles & Responsibilities:

• Design and maintain scalable and high-performance database architectures.
• Monitor and optimize database performance using tools like

  CloudWatch

  ,

  Oracle Enterprise

  Manager,

  pgAdmin

  ,

  Mongo Compass

  , or

  Dynatrace

  .
• Develop and manage ETL/ELT pipelines to support business intelligence and analytics.
• Ensure data integrity and security through best practices in backup, recovery, and encryption.
• Automate regular database maintenance tasks using scripting and scheduled jobs.
• Implement high availability, failover, and disaster recovery strategies.
• Conduct performance tuning of queries, stored procedures, indexes, and table structures.
• Collaborate with

  DevOps

  to automate database deployments using

  CI/CD

  and

  IaC tools

  (e.g., Terraform, AWS CloudFormation).
• Design and implement data models, including star/snowflake schemas for data warehousing.
• Document data flows, data dictionaries, and database configurations.
• Manage user access and security policies using IAM roles or database-native permissions.
• Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to

  NoSQL

  , etc.).
• Use

  AWS RDS

  ,

  Amazon Redshift

  ,

  Azure SQL Database

  , or

  Google BigQuery

  as needed.
• Stay up-to-date with emerging database technologies and make recommendations.

Must-Have Skills:

• Deep knowledge of SQL and database performance tuning.
• Hands-on experience with database migrations and replication strategies.
• Familiarity with data governance, data quality, and compliance frameworks (

  GDPR

  ,

  HIPAA

  , etc.).
• Strong problem-solving and troubleshooting skills.
• Experience with data streaming platforms such as Apache Kafka,

  AWS Kinesis

  , or

  Apache Flink

  is a plus.
• Experience with data lake and data warehouse architectures.
• Excellent communication and documentation skills.

Soft Skills:

• Problem-Solving:

  Ability to analyze complex problems and develop effective solutions.

• Communication Skills:

  Strong verbal and written communication skills to effectively collaborate with cross-functional teams.
• Analytical Thinking: Ability to think critically and analytically to solve technical challenges.

• Time Management:

  Capable of managing multiple tasks and deadlines in a fast-paced environment.

• Adaptability:

  Ability to quickly learn and adapt to new technologies and methodologies.

Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states

Location :

Time :