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 a 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 on site 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

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