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Senior Data Engineer | Multinational Consulting Giant | 5-8 years

Zoek Pin Nelamangala, Bangalore Rural, Karnataka

Permanent (Full time)

Multinational Consulting Giant 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 & 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

Posted 13 days ago

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