Sr. Software Engineer - Hadoop

5 - 10 years

6 - 10 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking forward to hireHadoop Professionals in the following areas :

Position Title:

PURPOSE OF THE POSITION:

RESPONSIBILITIES:

  • Develop data pipelines by ingesting various structured and unstructured data sources into Palantir Foundry.
  • Participate in end-to-end project lifecycles, from requirements analysis to deployment and operations.
  • Act as a business analyst for developing requirements related to Foundry pipelines.
  • Review code developed by other data engineers, ensuring adherence to platform standards and functional specifications.
  • Document technical work professionally and create high-quality technical documentation.
  • Balance technical feasibility with strict business requirements.
  • Deploy applications on Foundry platform infrastructure with clearly defined checks.
  • Implement changes and bug fixes following clients change management framework.
  • Work in DevOps project setups following Agile principles (e.g., Scrum).
  • Act as third-level support for critical applications, resolving complex incidents and debugging problems across the full stack.
  • Work closely with business users, data scientists, and analysts to design physical data models.
  • Provide support in designing ETL/ELT processes with databases and Hadoop platforms.

EDUCATION:

  • Bachelors degree or higher in Computer Science, Engineering, Mathematics, Physical Sciences, or related fields.

EXPERIENCE:

  • 5+ years of experience in system engineering or software development.
  • 3+ years of experience in engineering with a focus on ETL work involving databases and Hadoop platforms..

TECHNICAL SKILLS:

  • Hadoop General: Deep knowledge of distributed file system concepts, map-reduce principles, and distributed computing. Familiarity with Spark and its differences from MapReduce.
  • Data Management: Proficient in technical data management tasks such as reading, transforming, and storing data, including experience with XML/JSON and REST APIs.
  • Spark: Experience in launching Spark jobs in both client and cluster modes, with an understanding of property settings that impact performance.
  • Application Development: Familiarity with HTML, CSS, JavaScript, and basic visual design competencies.
  • SCC/Git: Experienced in using source code control systems like Git.
  • ETL/ELT: Experience developing ETL/ELT processes, including loading data from enterprise-level RDBMS systems (e.g., Oracle, DB2, MySQL).
  • Authorization: Basic understanding of user authorization, preferably with Apache Ranger.
  • Programming: Proficient in Python, with expertise in at least one high-level language (e.g., Java, C, Scala). Must have experience using REST APIs.
  • SQL: Expertise in SQL for manipulating database data, including views, functions, stored procedures, and exception handling.
  • AWS: General knowledge of the AWS stack (EC2, S3, EBS, etc.).
  • IT Process Compliance: Experience with SDLC processes, change control, and ITIL (incident, problem, and change management).

REQUIRED SKILLS:

  • Strong problem-solving skills with an analytical mindset.
  • Excellent communication skills to collaborate with both technical and non-technical teams.
  • Experience working in Agile/DevOps teams, utilizing Scrum principles.
  • Ability to thrive in a fast-paced, dynamic environment while managing multiple tasks.
  • Strong organizational skills with attention to detail.

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