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Data Engineer

Role : Data Engineer

Experience :  3 to 5 year


Graduation / Post Graduation : Specialization in Computer Science, Software Engineering, Business Analytics etc.

Key Responsibilities

Designing and developing scalable ETL scripts from the business source systems and the development of ETL routines to populate databases from sources and to create aggregates.

Responsible for performing thorough testing and validation to support the accuracy of data transformations and data verification

Suggest & implement best practices for performance tuning while working on the larger datasets.

Development and implementation of scripts for database maintenance, monitoring, performance tuning, and so forth.

Ensure proper data governance and quality of the data.

Define standard data management principles and policies for retention and archival.

Troubleshoots data issues within the business and across the business and presents solutions to these issues

Analyse complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models.

Provide real time knowledge transfer to the team on the Requirements / Design & Development.

Manage the infrastructure & deployment of the release artefacts by coordinating with respective teams.

Work in an agile environment with the defined sprints to deliver the assigned work in the stipulated timelines.

Excellence in implementing, configuring and using Big Data technologies, including Hadoop, Spark, Solr, Kafka, Hive and Impala, and Cloud Platform such as AWS and Azure

Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity.

Design & development of an event-processing pipeline that can handle millions of events.

Required Skills

Minimum 3 years of hands on experience in data management & engineering environment.

Design & development of a data-processing pipeline that can handle millions of rows.

Design an innovative methodology to extract information from data.

Strong knowledge of core software technologies and fundamentals – specifically for large-scale distributed systems – and building highly available services.

Ability to go across the full product development lifecycle – from design and development, to testing and deployment, to running large-scale, highly-available services in production..

Preferred having fundamental knowledge of scheduling, synchronization, IPC and memory management.

Familiarity with code versioning tools such as Git, SVN and Mercurial.

Understanding of Agile & Scrum development methodology.

Must to have the Knowledge of AWS Services.

Desired Skills

Demonstrated clear and thorough logical and analytical thinking, as well as problem solving skills

Self-directed, ability to work independently and research innovative solutions to business problems

Must be flexible to travel onsite if required.

Effective interpersonal communication across various levels of the organization.

Ability to interpret, evaluate and communicate detailed information in a manner that is appropriate to the audience.

Ability to conduct root cause analysis and performance tuning for complex business processes and functionality.

Ability to interact with IT and business users across the organization to resolve issues and provide solutions in a timely manner.

Should be proactive & transparent in the in the deliverables & critical thinker while designing the solutions.

Team oriented and enjoys working in a collaborative development environment.

Tools & Technologies

Languages: Java, JavaScript, Software Development, C++, Linux, Software Engineering, MySQL, SQL, XML, C, Agile Methodologies, Python, C#, jQuery, HTML, PHP, Web Services, CSS, Eclipse

Code Management: Git, SVN

Operating System: Mac, Linux, Windows

Databases Technologies: SQL & NoSQL Databases (Postgres, MongoDB, AWS S3, Redis) etc.

Cloud: AWS

If you have got it all.. What are you waiting for?

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