Hadoop Data Engineer

Overview

Role Description: Sr. Data Engineer – Big Data The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning.

Role and responsibilities •Strong technical, analytical, and problem-solving skills •Strong organizational skills, with the ability to work autonomously as well as in a team-based environment • Data pipeline framework development

Technical skills requirements The candidate must demonstrate proficiency in,

•CDH On-premise for data processing and extraction

•Ability to own and deliver on large, multi-faceted projects

•Fluency in complex SQL and experience with RDBMSs

•Project Experience in CDH experience, Spark, PySpark, Scala, Python, NiFi, Hive, NoSql DBs)

Experience designing and building big data pipelines

Experience working on large scale, distributed systems \

•Strong hands-on experience of programming language like PySpark, Scala with Spark, Python.

Certification in Hadoop/Big Data – Hortonworks/Cloudera

•Unix or Shell scripting

•Strong delivery background across the delivery of high-value, business-facing technical projects in major organizations

•Experience of managing client delivery teams, ideally coming from a Data Engineering / Data Science environment

Job Types: Full-time, Permanent

Pay: ₹600,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Schedule:

• Day shift

Ability to commute/relocate:

• Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Are you serving notice period at your current organization?

Education:

• Bachelor's (Required)

Experience:

• Python: 3 years (Required)

Work Location: In person