BCG - Boston Consulting Group
Data Engineer (Client Ops) - 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
- Supporting with case teams
- Supporting and enhancing original analysis and insights to case teams, typically owning the maintenance of all or part of an analytics module post implementation.
- Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants; collecting, synthesizing, analysing case team learning & inputs into new best practices and methodologies
- Ensuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
- Developing broad expertise in at least one analytics topic or platform
- Executing analytical approach and creating defined outcome; contributing to approach selection
- Proficient understanding of distributed computing principles
- Management of Spark clusters, with all included services – various implementations of Spark preferred
- Ability to solve ongoing issues with operating the cluster and optimize for efficiency
- Understanding of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one.
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks, such as Flume
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
- Good understanding of Lambda Architecture, along with its advantages and drawbacks #BCGXjob
- Selecting, integrating & supporting any Big Data tools and frameworks required to provide requested capabilities
- Enhancing/optimizing & maintaining ETL process(s) across on-premise and cloud architectures
- Monitoring performance and advising any necessary infrastructure changes
- You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
- 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
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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