Senior Data Engineer Us Multinational Consulting Company Years
US Multinational Consulting Company is hiring for one of its Fortune500 clients.
What will you work on:
Designing and building reusable components, frameworks and libraries at scale to support analytics products.
Designing and delivering product features in collaboration with business and Technology stakeholders.
Proactively anticipating, identifying and solving issues concerning data management to improve data quality.
Clean, prepare and optimize data at scale for ingestion and consumption.
Drive the implementation of new data management projects and re-structure of the current data architecture.
Implement complex automated workflows and routines using workflow scheduling tools.
Build continuous integration, test-driven development and production deployment frameworks.
Drive and collaborate reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
Analyze and profile data for the purpose of designing scalable solutions.
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product issues.
Mentor and develop other data engineers in adopting best practices.
Who will you work with
You will be reporting to the Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented teammates. You will be part of a team that will be a driving force in building Data and Analytic solutions for our company’s Technology.
What you bring
8 + Years experiencing developing scalable Big Data applications or solutions on distributed computing platforms.
Able to partner with others in solving complex problems by taking a broad perspective to identify innovative solutions.
Strong skills in building positive relationships across Product and Engineering.
Strong experience working with distributed technology tools, including Spark, Presto, Scala, Python, Airflow.
Strong experience working with tools like, Dynamo DB, SQL, Amazon Redshift, and Snowflake.
Strong experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.
Strong understanding of Data warehousing, Data modelling, Governance and Data Architecture.
experience in Amazon Web Services (AWS) or other cloud platform tools.
experience working with Big data compute platforms, including EMR, Data Bricks etc.
Working knowledge of Reporting and Analytical tools such as Tableau, Quicksite etc.
experience working in Agile and Scrum development process.
experience working in a fast-paced, results-oriented environment.
Ability to influence and communicate effectively, both verbally and written, with team members and business stakeholders.
Ability to quickly pick up new programming languages, technologies, and frameworks.
Bachelor\'s degree in Computer Science, Information Systems, Business, or other relevant subject area.