Software Engineer - Senior Data Engineer

at  CAPGEMINI ENGINEERING

REQUIRED SKILLS

• 5+ years of professional experience.
• University degree in Computer Related Sciences or similar.
• 3+ years’ experience working in data engineering, business intelligence, or a similar role.
• Proficiency in Python programming languages.
• 3+ years of experience in ETL orchestration and workflow management tool Airflow.
• Expert in Database fundamentals, SQL and distributed computing.
• Experience in Spark, Snowflake & Databricks.
• Excellent communication skills and experience working with technical and non-technical teams.
• Able to clear hacker rank code test.

KEY RESPONSIBILITIES:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all team members.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and gives to project plan of assigned area.
• Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
• Responsible for resolving crisis situations within their AOR.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.
• Suggests technical and functional improvements to contribute to the product;
• Constantly improves their professional level.
• Collaborates with other teams.