Job Location: Atlanta, GA
Who You’ll Work With
You’ll join one of our hubs in Atlanta, Chicago, Dallas or Waltham as part of our broader McKinsey technology team, ClienTech. You will build data products and join the growing team of data engineers and data architects.
McKinsey technology fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for and expands our investment in our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey. As one of the fastest-growing parts of our firm, McKinseyโs Technology team has more than 5,000 dedicated professionals (including more than 1,800 analysts and data scientists) and weโre hiring more mathematicians, data scientists, data engineers, designers, software engineers, architects, product managers, and client development managers.
What You’ll Do
You will provide data engineering expertise in our client service organizations.
In this role, you will be responsible for data ingestion, integration, manipulations and visualization. You will share the data output in a meaningful way to deliver high-quality analytics to our customers. You will also perform the transformation, filtering and aggregation of raw data into concise, accurate and focused data marts or client-specific data models.
You will also be responsible for data-intensive ad-hoc analytics including novel analytics for which tools are not sufficiently a push button. In addition, you will collaborate with the product and engineering team on the definition and requirements of analytics assets within an agile framework. You will be an integral part of our team with opportunities for coaching and mentorship from your senior colleagues.
Qualifications
- Bachelorโs degree in engineering, computer science or equivalent area
- 5+ years of experience in the field of business intelligence, application development, database development and ETL, and/or data analysis domains with extensive SQL knowledge
- Experience with cloud infrastructure such as AWS, Azure or Google
- Experience in container technologies like Docker / Kubernetes a plus
- Experience in building the data pipelines and workflows from ground up, including defining the exception handling strategies
- Exposure in storing and assembling large complex data sets with various formats such as CSV, JSON, Avro, Parquet
- Hands-on coding and application development experience with programming languages such as Python, Shell, Java or similar scripting languages. Familiarity with R, Scala, Javascript is a big plus
- Experience with relational SQL and NoSQL databases, ETL tools (e.g., Snaplogic, Alteryx), and BI tools (e.g.,Tableau, Power BI)
- Good understanding of REST APIs, data modeling, data warehousing, data lakes, and big-data concepts
- Good understanding of software development lifecycle, including experience in tools like JIRA, GitHub
- Ability to translate business requirements and excellent time management skills (manage estimated workload according to scope)
- Demonstrated willingness and ability to engage with teams and collectively solve complex problems
- Proactively identify and advocate for improvements to technology and engineering methods
- Effectively communicate business benefits and implications of technology initiatives to non-technical and more senior colleagues
COVID-19 vaccination mandate:
Employment with McKinsey & Company, Inc. in the United States and Canada is conditioned on proof of full vaccination against the COVID-19 virus (with a WHO-approved or Health Canada-approved COVID-19 vaccine, as applicable) or approval of an exemption due to a qualifying medical condition or sincerely held religious belief prior to start date.
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