BCG - Boston Consulting Group
Data Engineer - X Delivery
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Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.
Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.
What You'll Do
- Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team.
- Design, develop, and maintain efficient and robust data pipelines for extracting, transforming, and loading data from various sources to data warehouses, data lakes, and other storage solutions.
- Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and PySpark.
- Deep knowledge of Big Data querying and analysis tools, such as PySpark, Hive, Snowflake and Databricks.
- Broad expertise in at least one Cloud platform like AWS/GCP/Azure.
- Working knowledge of automation and deployment tools such as Airflow, Jenkins, GitHub Actions, etc., as well as infrastructure-as-code technologies like Terraform and CloudFormation.
- Good understanding of DevOps, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
- Basic understanding on Machine Learning methodologies and pipelines.
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collecting, synthesizing, analyzing case team learning & inputs into new best practices and methodologies.
- Strong communication skills, enabling effective collaboration with both technical and non-technical team members.
- You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.
What You'll Bring (Experience & Qualifications)
- Bachelor's / Master's degree in computer science engineering/technology
- At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting.
- Consulting experience will be considered a plus.
- Proficient understanding of distributed computing principles including management of Spark clusters, with all included services – various implementations of Spark preferred.
- Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc.
- Software engineering concepts and best practices, like API design and development, testing frameworks, packaging etc.
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge on web development technologies.
- Understanding of different stages of machine learning system design and development.
- You will work with the case team and/or client technical POCs and border X team.
Date Posted:
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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