Data Engineer- Big Data- 3-12yrs

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon EMR, Amazon Simple Storage Service (S3), Apache Hadoop, Apache Hive, Apache Oozie, Avro, AWS, C++, Flume, Git, Java Programming, JIRA, Linux Operating system, MLOps tools, Python Programming, R Programming, Scala Programming, Shell Scripting language, SQL, Sqoop, Zookeeper

Job Description

The BigData Engineers have expertise in building horizontally scalable applications using distributed technologies like NoSQL Dbs/Hadoop/Spark and others and we execute projects on-premises and cloud based systems. The AI-Engineers and MLOps Engineers work on scaling AI-systems and in building end-to-end productionized MLOps pipelines.

RESPONSIBILITIES:

Our Big Data capability team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you.

• You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing and visualizing large sets of data to turn information into business insights
• Team handling, problem solving, project management and communication skills & creative thinking
• The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage
• QUALIFICATIONS: REQUIRED QUALIFICATIONS:
• 3 to 12 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions

Ideally, this would include work on the following technologies:

• Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a strong advantage
• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.
• Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
• Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI)
• Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
• Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works
• Linux environment and shell scripting

PREFERRED QUALIFICATIONS:

• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra
• Familiarity with API design

EDUCATION:

• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalen

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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