Job Description
As a part of BCG’s X team 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 analytical and engineering subject matter expertise including but not limited to architecture designing, data Ingestion, data modelling and pipeline deployment.
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'RE GOOD AT
Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team.
Building data systems and end to end data pipelines for Ingesting structured and semi-structured data from different sources, building data model, and running complex data analysis.
Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective.
Basic understanding of CI/CD pipelines, orchestration, and containerization tools.
Developing broad expertise in at least one Cloud platform like AWS/GCP/Azure.
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
Working with case (and proposal) teams
Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models.
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process(s) across on-premises and cloud architectures
Monitoring performance and advising any necessary infrastructure changes
Functional Skills:
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.
YOU 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
Ability to solve ongoing issues with operating the cluster and optimize for efficiency
Expert of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one.
Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc
Good knowledge of Big Data querying and analysis tools, such as Hive, Snowflake and Databricks
Good to have:-
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge on web development technologies.
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.
YOU'LL WORK WITH
Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
ADDITIONAL INFORMATION
BCG X combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG X team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end: framing the business problem, building the data, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG X, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing Digital enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.
#LI-PA1
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'RE GOOD AT
Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team.
Building data systems and end to end data pipelines for Ingesting structured and semi-structured data from different sources, building data model, and running complex data analysis.
Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective.
Basic understanding of CI/CD pipelines, orchestration, and containerization tools.
Developing broad expertise in at least one Cloud platform like AWS/GCP/Azure.
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
Working with case (and proposal) teams
Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models.
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process(s) across on-premises and cloud architectures
Monitoring performance and advising any necessary infrastructure changes
Functional Skills:
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.
YOU 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
Ability to solve ongoing issues with operating the cluster and optimize for efficiency
Expert of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one.
Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc
Good knowledge of Big Data querying and analysis tools, such as Hive, Snowflake and Databricks
Good to have:-
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge on web development technologies.
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.
YOU'LL WORK WITH
Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
ADDITIONAL INFORMATION
BCG X combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG X team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end: framing the business problem, building the data, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG X, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing Digital enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.
#LI-PA1
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer | X Delivery position is now open for candidates interested in the Digital Marketing Expert Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Digital Marketing Expert Jobs is a plus.
