We are seeking an experienced Cloud Data Engineer proficient with Snowflake and AWS. The ideal candidate will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows. Tasks:
- Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format.
- 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.
- Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
- Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.
- Independence and responsibility for delivering a solution.
- Ability to work under Agile and Scrum development methodologies.
Requirements:
- 3+ years of professional experience in the Data & Analytics area.
- Good knowledge of Snowflake.
- Good knowledge of AWS cloud services (S3, RDS, Redshift, etc.), knowledge of other clouds is an asset.
- Very good level of communication, the ability to clearly and specifically convey information, experience in working with business users.
- Experience working in the Agile (Scrum) methodology.
- English at least at B2 level, ideally C1.
- Capable of working both independently and in a team-oriented, collaborative, cross-functional and cross-cultural environment.
- Passion for the Data & Analytics solutions in the Cloud environment.
We offer:
- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning 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.
- Internal Gallup Certified Strengths Coach to support your growth.
- 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.
- Modern office equipment. Purchased for you or available to borrow, depending on your location.
Agile compression data-retrieval data-warehouse Amazon Web Services (AWS) Data lake Data Engineering Data Storage distributed-filesystem snowflake-cloud-data-platform data-modeling data-pipelines ETL Scrum partitioning indexing