Data Engineer (Client Ops) - X Delivery @ Diraa HR Services

Job Description

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 stakeholdersempowering 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. BCG X BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Practice Area Profile What You'll Do As a part of BCGs X OPERATE team you will work closely with consulting teams and other stakeholders 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. You will work with global stakeholders such as Project/Case teams and clients and support by working in AP/EU/AM time zones during weekdays or weekends. YOU'RE GOOD AT 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 signoff 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 Technical expertise 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 #BCGXjob Functional Skills: 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 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. 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 You will report to the Lead Data Engineer BCG X, and you will work with the case team and/or client technical POCs

Employement Category:

Employement Type: Full time
Industry: Management Consulting / Strategy
Role Category: Operations Management / Process Analysis
Functional Area: Not Applicable
Role/Responsibilies: Data Engineer (Client Ops) - X Delivery

+ View Contact

Keyskills:   distributed computing Spark clusters management cloud ecosystems Big Data querying tools streamprocessing systems NoSQL databases ETL techniques messaging systems Big Data ML toolkits Lambda Architecture