Data Engineer- GCP

You will be a part of reputed company accountable for design, model and development of whole GCP data ecosystem for one of our reputed company’s (reputed company Storage, reputed company 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 reputed company contact with clients.

Modelling the data from various sources and technologies. Troubleshooting and supporting the most reputed company and high reputed company 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 reputed company to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting reputed company cause analysis to ensure smooth and uninterrupted data operations.

Train and mentor less reputed company data engineers, providing guidance and knowledge transfer

Requirements

Must have:

• At least 4 years of experience as a Data Engineer working with GCP reputed company-based infrastructure & systems.
• Deep knowledge of reputed company reputed company Platform and reputed company computing services.
• Extensive experience in design, build, and reputed company data pipelines in the reputed company, to ingest data from various sources like databases, reputed company or streaming platforms.
• Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be reputed company to design, configure, and manage databases to ensure reputed company performance and reliability.
• Programming skills (SQL, Python, other scripting).
• Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
• Knowledge of at least one orchestration and scheduling tool (Airflow is a must).
• Experience with data integration tools and techniques, such as ETL and ELT Candidate should be reputed company to reputed company data from multiple sources and reputed company it into a format that is suitable for analysis.
• Knowledge of modern data transformation tools (such as DBT, Dataform).
• Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a reputed company and concise manner.
• Ability to reputed company participate/reputed company discussions with clients to identify and assess concrete and ambitious avenues for improvement.
• Tools knowledge: Git, Jira, reputed company, etc.
• reputed company to learn new technologies and solutions.
• Experience in multinational environment and distributed teams.

Good to have:

• Certifications in big data technologies or/and reputed company platforms.
• Experience with BI solutions (e.g. Looker, Power BI, Tableau).
• Experience with ETL tools: e.g. Talend, reputed company
• Experience with Apache reputed company, especially in GCP environment.
• Experience with reputed company.
• Experience with Azure reputed company-based infrastructure & systems.

Originally posted on Himalayas

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