What are the responsibilities and job description for the Senior Data Engineer position at Boston Consulting Group?
As a part of BCG’s GAMMA team - part of BCG X, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support.
You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.
Working with case (and proposal) teams
Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities
Defining and explaining expected analytics outcome; defining approach selection
Delivering original analysis and insights to case teams, typically owning all or part of an analytics module and integrating with case teams
Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies
Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
Able to generate project work for self via connects
Team requirements:
Guides juniors on analytical methodologies and platforms, and helps in quality checks
Contributes to team’s content & IP development
Imparts technical trainings to team members and consulting cohort
Technical Skills:
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
Good to have:
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
Functional skills:
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process(s) across on-premise and cloud architectures
Monitoring performance and advising any necessary infrastructure changes
Communicating with confidence and ease:
You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
Thinking analytically:
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
Bachelor's / Master's degree in computer science engineering/technology
At least 3 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting
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