Job Title: GCP Data Engineer- Senior Consultant

About Lingaro:

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

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.
Train and mentor junior data engineers, providing guidance and knowledge transfer.

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:

Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
100% remote.
Flexibility regarding working hours.
Full-time position
Comprehensive online onboarding program with a Buddy from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemylearning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.

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