Senior Software Engineer – Big Data and Data Science

Enterprise grade application development and on-time quality delivery following the company-wide processes, while adhering to the architecture, design and development guidelines and standards

Key Job Responsibilities/Tasks

  • Design and Develop module/features of the technical solutions
  • Adhering to company-wide processes to make sure successful deliveries
  • Guide Software Engineers and Associate Software Engineers on design and implementation
  • Take part in requirement gathering, ask questions to clarify requirements
  • Consult Tech Leads/Architects in taking design decisions and periodic review
  • Engaging in effective R&D and PoC work
  • Meeting expected quality and deadlines while adhering to best practices and guidelines
  • Provide necessary assistance to QA to do an effective testing
  • Maintain proper documentation on any design level decisions agreed with TL/Architect for each module/component level and all R & D work
  • Strong and effective interpersonal and communication skills with the ability to interact professionally with project teams and a diverse group of staff
  • Use of the best industry wide battle tested tools to improve the efficiency and the productivity of delivering the assigned responsibilities
  • Estimate and provide fairly accurate timelines of the delivery dates of the assigned tasks with commitment

Minimum Qualifications

  • Minimum 2+ years of industry experience building production-grade technical solutions related to Big Data, Data Engineering and Data Science
  • Sound knowledge in the areas of Big Data, Data Engineering, Machine Learning, Artificial Intelligence and Data Science concepts
  • Hands on experience in Big Data, Data Engineering, Machine Learning and Data Science model building

Experience and Skill Requirement

  • Programming Languages:Java, Scala, Python, R
  • Big Data Frameworks: Hadoop, HDP, Databricks
  • Data Engineering Techniques: Data Ingestion, ETL, Data Lake, Data Wearhouse, BI & Reporting
  • Big Data & Data Engineering Tools: Apache Spark, Kafka, Apache Storm, Flink, Talend, ELK
  • Data Science: Exploratory Data Analysis, Feature Engineering, Model Creation, Auto ML pipeline building, Hyper Parameter Tuning, Model Deployment
  • Cloud Platforms: AWS and Azure
  • Database: Hive, HBase, Mongo DB, PostgreSQL, Oracle, MS SQL Server, MySQL
  • Build Tools: Maven, Ant, Gradle
  • Workflow Orchestration: Azkaban, Airflow
  • CICD Pipeline: Jenkins, Nexus
  • Development Methodologies: Agile/Scrum, Waterfall
  • Design: Object-Oriented Programming, Design Patterns, Database Modelling, UML Modeling, C4 Modelling

    Upload Your CV [ Please limit file size to 5 MB ]

    zone24x7 Logo
    ISO-2700 Logo
    GoodFirms Badge
    GoodFirms Badge
    • USA
    • Sri Lanka
    • UK