Senior Data Engineering Consultant

3 days ago

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Ollion

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Ollion is a global consultancy specializing in cloud-native and data-driven transformation for ambitious organizations. By unifying technology and strategy, Ollion helps clients navigate complex business challenges, leverage innovative solutions, and enhance customer experiences. The company emphasizes human-centered design and robust data governance in its approach to enterprise tech consulting, aiming to foster innovation while managing risks in an ever-evolving digital landscape.

Cloud Consulting • Managed Service Provider • Public Cloud Migrations • Cloud Architecture • Cloud Roadmap

501 - 1000 employees

Founded 2023

📋 Description

• The Senior Data Engineering Consultant will be responsible for requirements gathering, solutioning, designing and building modern data platforms to support data-driven decision making. • The Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands-on role. • The Senior Data Engineering Consultant will help build a data and analytics consulting practice by taking part in recruiting efforts, creating technical collateral, and staying on top of technology trends with ongoing training and certifications. • The entire consulting team will be responsible for building long-term strategic relationships with clients and participating in all aspects of project delivery

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field. • 7-9 years of data engineering experience in data management, database architecture, data engineering, or data visualization. • Excellent problem-solving, organization, debugging, and analytical skills. • Ability to work independently and in a team environment. • Excellent communication skills for effectively expressing ideas to team members and clients. • Understanding of relational database concepts and SQL querying. • Strong experience in Integrating with multiple data sources with both structured and unstructured data in both batch and streaming modes • Knowledge of cloud computing platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. • Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent. • Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse. • Experience with visualization tools, such as Power BI, Looker, Tableau, and QuickSight. • Familiarity with Docker and Kubernetes • Debug and optimize existing data infrastructure and processes as needed. • Nice To Have • Experience building large-scale, high throughput, 24x7 data systems. • Any data engineering, visualization, or data science certifications on any of the clouds. • Experience with at least one programming language, such as Python, Java, or Scala. • Exposure to machine learning algorithms, AI, and/or LLM, with implementation in practice. • Experience with legacy data systems (e.g. Hadoop, Informatica).

🏖️ Benefits

• Create a lasting Impact • Learn and Grow professionally & personally • Experience great Culture • Be your Whole Self! • Benchmarked, competitive, in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees • Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth • Retirement planning (i.e. CPF, EPF, company-matched 401(k)) • Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. • In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs. • Generous time off and leave allowances • And more!