Job Description:

As a Data Engineer, you will work on cutting edge, petabyte-scale Hadoop ecosystem to ingest raw data and transform it into usable and consumable information for various operational and advanced analytics purposes

You will

- Build, test & maintain enterprise data lake and data pipelines

- Work with analytics partners to deploy scalable data pipelines for analytical needs

- Adher to the plan and quality needs of data solutions to various business problems

- Adapt to competing demands and step outside the comfort zone

You will have

- Engineering degree in Computer Science or related technical field, or equivalent practical experience

- 3-5 years of DW/BI/Analytics/IT experience with 3+ years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming

- Expertise in one or more programming languages like Java, Scala or Python and in unix scripting

- Expertise in using query languages such as SQL, Hive, Sqoop and SparkSQL

- Expertise in storage and process optimization techniques in Hadoop and Spark

- Experience in using tools like Jenkins for CI, Git for Version Control

- Exposure to Google Cloud (GCP) data components such as Cloud Data Flow, Cloud Data Proc, BigQuery and BigTable is preferred

- Strong problem-solving, communication and articulation skills

Profile Summary:

Employment Type : Full Time
Functional Area : Other
Salary : Not Mentioned
Deadline : 18th Mar 2020

Key Skills:

Company Profile:

Not Mentioned

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