Sr Data Engineer III - Big Data | US Fortune 500 Multinational Consultation Services | 6-8 years

Zoek Pin Bengaluru, Karnataka


Permanent (Full time)

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WHAT ARE WE LOOKING FORUS Fortune 500 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 Fortune 500 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 ONDesigning 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 qualityClean, prepare and optimize data at scale for ingestion and consumptionDrive the implementation of new data management projects and re-structure of the current data architectureImplement complex automated workflows and routines using workflow scheduling tools Build continuous integration, test-driven development and production deployment frameworksDrive and collaborate reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standardsAnalyze and profile data for the purpose of designing scalable solutions Troubleshoot complex data issues and perform root cause analysis to proactively resolve product issuesMentor and develop other data engineers in adopting best practicesWHAT YOU BRING 8+ years experiencing developing scalable Big Data applications or solutions on distributed computing platformsAble to partner with others in solving complex problems by taking a broad perspective to identify innovative solutionsStrong skills in building positive relationships across Product and experience working with distributed technology tools, including Spark, Presto, Scala, Python, AirflowStrong experience working with tools like, Dynamo DB, SQL, Amazon Redshift, and SnowflakeStrong experience architecting data products in Streaming, Serverless and Microservices Architecture and understanding of Data warehousing, Data modelling, Governance and Data ArchitectureExperience in Amazon Web Services (AWS) or other cloud platform toolsExperience working with Big data compute platforms, including EMR, Data Bricks etcWorking knowledge of Reporting & Analytical tools such as Tableau, Quicksite working in Agile and Scrum development processExperience working in a fast-paced, results-oriented environmentAbility to influence and communicate effectively, both verbally and written, with team members and business stakeholdersAbility to quickly pick up new programming languages, technologies, and frameworksBachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

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