Sr. Lead Data Engineer- Hadoop

Overview

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.
• 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

Certification in Hadoop/Big Data – Hortonworks/Cloudera

Qualifications

• B.Tech./M.Tech./MS or BCA/MCA degree from a reputed university

Job Types: Full-time, Permanent

Schedule:

• Day shift
• Monday to Friday
• Morning shift

Experience:

• Total: 4 years (Required)
• Hadoop: 3 years (Required)

Location:

• Gurgaon, Haryana (Required)

Work Location: In person