WHAT ARE WE LOOKING FOR
US Multinational Consultation Services is hiring and this is a great opportunity for candidates to work with Fortune500 companies.
We are looking at associating employees with US Multinational Consultation Services permanently, while they work on projects given by Fortune500 companies.
If you think you have what it takes, apply now!
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
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 & 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