Data Engineer

Job Description

. 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.).

Required 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.