Job Summary
The Data Engineer will be responsible for providing operational support for enterprise data platforms. The role involves working closely with data product teams, business users, and vendors to implement, onboard, and maintain data platforms supporting BI, ingestion, and data governance needs. The candidate must be willing to provide L2/L3 support, including occasional weekend support.
Key Responsibilities
Provide
operational support
for enterprise data platforms across BI, ingestion, and governance domains.
Work with
data product teams and business stakeholders
to implement and support data platforms using best practices and modern frameworks.
Collaborate with
product vendors
to design, deploy, integrate, and optimize data platforms within the organization’s ecosystem.
Ensure deployed platforms comply with
IT security and regulatory policies
.
Establish operational processes and implement
monitoring mechanisms
to ensure platform availability and reliability.
Act as a
solution architect
, assisting in the end-to-end onboarding of projects onto enterprise data platforms.
Perform
testing and validation
on deployed data platforms.
Identify
automation opportunities
to streamline deployment, monitoring, incident response, and reduce manual operations (using Ansible, CI/CD tools, scripting, etc.).
Mandatory Skills
Hands-on
platform support experience
with
Informatica
or
Tableau
.
Willingness to provide L2/L3 support
, including weekend support when required.
Familiarity with
automation tools
;
Ansible
experience is preferred.
Ability to support enterprise data platforms and collaborate with product teams, vendors, and end-users for implementation, onboarding, and maintenance.
Good knowledge of
Java, Python, and RDBMS
(good to have).
Technical Requirements
Degree in Computer Science
or related field.
Minimum
5 years of experience
as a Data Engineer, Platform Support Engineer, or Software Engineer.
Strong knowledge of
data structures and algorithms
to build scalable applications in Java or Python.
Experience with
application implementation and integration
using RDBMS.
Hands-on experience with
Linux/Unix environments
, shell scripting, and command-line tools.
Knowledge of
data integration and visualization platforms
such as Informatica, Tableau, and Power BI.
Experience in
automation
(Ansible, Python scripts, CI/CD pipelines, deployment automation).
Exposure to:
Snowflake, Oracle, MS SQL, Denodo
AWS services
(advantageous)
Understanding of
SDLC
and Agile frameworks (Scrum, Kanban).
Familiarity with industry best practices in
version control, testing, CI/CD workflows, and documentation
.