Senior Data Engineer

Market Facing Title: Sr. Data Engineer

What do you drive for us?

As a Sr. Data Engineer at Randstad, you will play a pivotal role in designing, implementing, and maintaining our data infrastructure on Google Cloud Platform. You will work closely with our business intelligence, engineering, and business teams to ensure that our data is collected, stored, processed, and analyzed effectively, enabling us to make informed decisions and drive impactful outcomes.

What a typical day at work would look like?

• Collaborate with stakeholders: Engage in discussions with business users, BI analysts, data engineers to understand their data needs and translate them into technical solutions.

Design and implement data pipelines: Architect and build data pipelines using GCP services like Cloud Dataflow, Cloud Dataproc, and BigQuery to ensure efficient data ingestion, transformation, and delivery.

• Develop data models: Design and implement data models in BigQuery, considering performance, scalability, and security requirements.
• Manage and optimize data storage: Manage data storage on Google Cloud Storage, optimizing for cost-efficiency and performance.
• Ensure data quality: Implement data validation and quality checks throughout the data pipeline to ensure data accuracy and integrity.
• Troubleshoot and resolve issues: Diagnose and solve complex data-related issues, ensuring smooth data flow and optimal performance.
• Stay updated on GCP advancements: Keep abreast of the latest Google Cloud Platform offerings and best practices to continually enhance our data solutions.

Your Key Knowledge Areas shall be:

• Deep understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion.
• Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles.
• Data warehousing and data lakes: Strong understanding of data warehousing concepts, data lake architectures, and best practices for data management.
• Data pipeline development: Proficiency in building data pipelines using tools like Apache Beam, Apache Spark, or other relevant technologies.
• SQL and Python programming: Strong command of SQL for data querying and manipulation, and proficiency in Python for data analysis and automation.
• Data governance and security: Understanding of data governance principles, data security best practices, and compliance requirements.

What do you bring with you?

• 5+ years of experience as a Data Engineer or similar role: Proven track record of designing and implementing data solutions on Google Cloud Platform.
• Strong analytical and problem-solving skills: Ability to analyze complex data challenges and provide innovative solutions.
• Excellent communication and collaboration skills: Proven ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Passion for data and technology: A genuine interest in data, its potential, and the latest advancements in data technology.
• Continuous learner: A proactive and enthusiastic approach to learning new technologies and techniques.

Education Qualifications : B.Tech/M.Tech/BCA/MCA

Experience : 5 - 10 years

Your key strengths we look forward to:

• Strategic Thinking: Ability to see the big picture and align data solutions with broader business goals.
• Problem-Solving Prowess: A knack for identifying and solving complex data-related challenges, driving efficiency and innovation.
• Collaborative Spirit: A team player who thrives in a collaborative environment and fosters positive working relationships.
• Adaptability & Agility: A flexible and adaptable individual who can thrive in a fast-paced environment and adjust to changing requirements.

Who do you interact with regularly?

Internal Interactions - Local Business Leaders, Product Managers, Technical Architects, Global Product Teams

External Interactions - Technology Vendors, Key Clients