Hadoop Developer

2 weeks ago

Mumbai, Maharashtra, India Progriz Coe Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Big Data Developer Project Support & Mentorship

Location: Mumbai

Employment Type: Full-Time/Contract

Work Arrangement: Onsite Mumbai COE

Position Overview:

We are seeking a skilled Big Data Developer to join our growing delivery team, with a dual focus on hands-on project support and mentoring junior engineers. This role is ideal for a developer who not only thrives in a technical, fast-paced environment but is also passionate about coaching and developing the next generation of talent.

You will work on live client projects, provide technical support, contribute to solution delivery, and serve as a go-to technical mentor for less experienced team members.

Key Responsibilities:

  • Perform hands-on Big Data development work, including coding, testing, troubleshooting, and deploying solutions.
  • Support ongoing client projects, addressing technical challenges and ensuring smooth delivery.
  • Collaborate with junior engineers to guide them on coding standards, best practices, debugging, and project execution.
  • Review code and provide feedback to junior engineers to maintain high quality and scalable solutions.
  • Assist in designing and implementing solutions using Hadoop, Spark, Hive, HDFS, and Kafka.
  • Lead by example in object-oriented development, particularly using Scala and Java.
  • Translate complex requirements into clear, actionable technical tasks for the team.
  • Contribute to the development of ETL processes for integrating data from various sources.
  • Document technical approaches, best practices, and workflows for knowledge sharing within the team.

Required Skills and Qualifications:

  • 8+ years of professional experience in Big Data development and engineering.
  • Strong hands-on expertise with Hadoop, Hive, HDFS, Apache Spark, and Kafka.
  • Solid object-oriented development experience with Scala and Java.
  • Strong SQL skills with experience working with large data sets.
  • Practical experience designing, installing, configuring, and supporting Big Data clusters.
  • Deep understanding of ETL processes and data integration strategies.
  • Proven experience mentoring or supporting junior engineers in a team setting.
  • Strong problem-solving, troubleshooting, and analytical skills.
  • Excellent communication and interpersonal skills.

Preferred Qualifications:

  • Professional certifications in Big Data technologies (Cloudera, Databricks, AWS Big Data Specialty, etc.).
  • Experience with cloud Big Data platforms (AWS EMR, Azure HDInsight, or GCP Dataproc).
  • Exposure to Agile or DevOps practices in Big Data project environments.

What We Offer:

Opportunity to work on challenging, high-impact Big Data projects.

Leadership role in shaping and mentoring the next generation of engineers.

Supportive and collaborative team culture.

Flexible working environment

Competitive compensation and professional growth opportunities.

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