GCP Data Engineer- Freelancer

Job Title: GCP Data Engineer- Freelancer

Freelance Cooperation – What Does It Mean?

• Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.
• Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.
• Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.
• No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.

Tasks:

You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery) Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.

• Modelling the data from various sources and technologies.
• Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems.
• Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval.
• Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
• Identifying and resolving issues related to data processing, storage, or infrastructure.
• Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations.

Requirements:

• At least 8+ years’ experience as DE - Python, GCP, BigQuery
• Object oriented programming, Python and SQL
• Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
• Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
• Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ.
• Good Knowledge of Dq dimensions
• Experience working with GCP cloud-based infrastructure & systems ·
• Programming skills (SQL, Python, other scripting),
• Proficient in data modelling techniques and database optimization.
• Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
• Proficient in database management systems such as SQL (Big Query is a must), NoSQL.
• Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
• Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.

Why join us:

• Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
• Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work . We trust your ideas.