Data Engineer

Digile; India; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Digile in India is seeking an experienced ETL developer to join our QTC team. You will migrate data from diverse sources, design and implement data integration solutions, and validate systems across enterprise applications.

The role covers the full development lifecycle from analysis to release, with opportunities to work with global teams, optimize processes, and contribute to key performance metrics. Travel may be required.

Qualifications

• Bachelor’s degree in computer science or related field.
• 5+ years of experience in ETL development or similar roles.
• Experience managing large data volumes and diverse data sources.
• Strong analytical skills in enterprise applications or integration projects.
• Excellent communication skills to collaborate with global teams.
• Hands-on experience with industry best practices for standards and methodologies.

Responsibilities

• Manage in-house and vendor deliverables to meet time, scope, and budget commitments.
• Capture operational metrics and performance indicators to highlight the value of team deliverables and enhance visibility into operations.
• Collaborate with globally distributed teams to build strong working relationships across internal and external stakeholders.
• Travel may be required.
• Prepare detailed technical documentation for deliverables.
• Design, code, and review solutions to ensure high standards of quality.
• Identify, define, and implement best practices for process improvements within the SDLC framework.
• Prepare and report project performance metrics and KPIs.

Skills

ETL development

Data integration

SQL/PL-SQL

Python

Unix Shell Scripting

Communication skills

SDLC best practices

Education

Bachelor’s degree in computer science

Tools

Apache Airflow

Oracle

MySQL

DB2

Job description

As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications. You will be involved in the complete development lifecycle—from analysis and design to testing and release—focusing on delivering solutions that align with business goals, technical requirements, and best practices.

Key Responsibilities

• Manage in-house and vendor deliverables effectively to meet time, scope, and budget commitments.
• Capture operational metrics and performance indicators to highlight the value of team deliverables and enhance visibility into operations.
• Collaborate with globally distributed teams to build strong working relationships across internal and external stakeholders.
• Flexibility for travel isrequired.
• Prepare detailed technical documentation for deliverables.
• Design, code, and review solutions to ensurehigh standardsof quality.
• Identify, define, and implement best practices for process improvements within the SDLC framework.
• Prepare and report project performance metrics and KPIs.

Skills/Other Details

Qualifications & Experience:

• Bachelor’s degree in computer science or a related field with 5+ years of experience in ETL development or similar roles.
• Provenexpertisein managing large data volumes and working with diverse data sources.
• Strong analytical skills witha track recordof success in enterprise applications or integration projects.
• Excellent communication skills to effectively collaborate with global teams.
• Hands-on experience using industry best practices for standards and methodologies.

Technical Skills (Must-Have):

• ProficiencyinSQL/PL-SQL.
• Advanced knowledge ofPythonprogramming.
• Hands-on experience withUnix Shell Scripting.
• Strong analytical skills for data engineering tasks.

Technical Skills (Good-to-Have):

• Familiarity with tools likeApache Airflowfor data migration workflows.
• Experience with database systems such asOracle,MySQL, orDB2.
• Knowledge of legacy data migration from diverse sources.
• Previousexperience with data migration to platforms like ServiceNow.

Additional Skills (Advantageous):

• Familiarity with Siebel Complex assets data model.
• Understanding of CI/CD pipelines using GitHub Actions.