Data Engineer

• 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.
• Travel to various Equinix locations as needed; flexibility for travel is 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.

Qualifications & Experience:

• Bachelor’s degree in computer science or a related field with 5+ years of experience in ETL development or similar roles.
• Proven expertise in managing large data volumes and working with diverse data sources.
• Strong analytical skills with a track record of 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):

• Proficiency in SQL/PL-SQL.
• Advanced knowledge of Python programming.
• Hands-on experience with Unix Shell Scripting.
• Strong analytical skills for data engineering tasks.

‍Technical Skills (Good-to-Have):

• Familiarity with tools like Apache Airflow for data migration workflows.
• Experience with database systems such as Oracle, MySQL, or DB2.
• Knowledge of legacy data migration from diverse sources.
• Previous experience 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.