Job Description

Requisition Number 16783BR

WHAT YOU'LL DO

As a part of BCG's GAMMA R 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.

JOB TITLE Lead Data Engineer- GAMMA

JOB FAMILY Analytics & AI

YOU'RE GOOD AT Rapid Business requirement gathering and Analysis Working with project stakeholders to identify business needs and gather requirements for data analysis or deployment of already existing advanced analytics solutions and BI tools Collaborating with project team members in drafting prioritized business requirements documentation, including scope definition and statement of work Managing team on projects while working with case teams, ensuring execution and being responsible for overall quality Leading communication and managing workflow to ensure the case team's satisfaction Providing mentorship to your own/working (i.e., project) team members Assisting on designing the onboarding schedule, & providing day to day apprenticeship & coaching for analysts with guidance from Analytics Expert, Team Manager Being Involved in Analyst and Senior Analyst recruiting process where needed Technical Skills: Create and maintain optimal data pipeline architecture 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 Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability Ensure data quality and help in achieving data governanceTechnology familiarity/Skills: Hands-on experience in data modeling, ETL (Informatica, Talend) and data load strategy Experience in working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (SQL, PostgreSQL, NoSQL, MongoDB) Hands-on experience using PySpark for processing various data formats (JSON, Parquet) and exposing data for consumer endpoints Knowledge of distributed computing frameworks like Apache Hadoop, Apache Spark or other similar framework Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores Experience in Microsoft Azure (including Azure Data Factory, Azure Data Lake, ADLS, Databricks), AWS (including Kineses Firehose, Snowball, S3, Redshift, Glue) or Google Cloud Platform Working knowledge of Airflow, Kafka and Jenkins Sound knowledge of scripting languages (Python, Shell script) Experience working in DevOps environments integrated with GIT for version control and CI/CD pipelines

YOU BRING (EXPERIENCE & QUALIFICATIONS)

Undergraduate or Masters degree in a field linked to business analytics, statistics, economics, applied mathematics, computer science, engineering, operations research, or related field is required, an advanced degree is preferred At least 6-8 years of relevant industry work experience providing advanced analytics solution in a commercial setting or around 4-6 years of consulting experience

YOU'LL WORK WITH You will report to the Solution Delivery Manager - GAMMA, and you will work with the case team, other Gamma groups and/or client technical POCs

YOU'LL BE TRAVELLING Yes (20%)

YOUR EMPLOYEE TYPE IS Regular

YOUR JOB TYPE IS Full time

WHO WE ARE BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world's best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible--and unlocking your potential to advance the world. BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA team is comprised of world-class data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results. Our teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG GAMMA, 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 analytics enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.

EQUAL OPPORTUNITY 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, protected veteran status, or any other characteristic protected under federal, state or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.