Sr GCP Data Engineer

2 days ago

Hyderabad, Telangana, India Randstad Full time ₹ 8,00,000 - ₹ 16,00,000 per year

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 / Data Architect 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 : 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

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