Sr Data Engineer VII - Big Data | US Fortune 500 Consulting Firm | 6-8 years
5d ago


US Fortune 500 Consulting Firm is hiring and this is a great opportunity for candidates to work with Fortune500 companies.

We are looking at associating employees with US Fortune 500 Consulting Firm permanently, while they work on projects given by Fortune500 companies.

If you think you have what it takes, apply now!


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


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

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