Data Engineer

Role Description:

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

Experience working on any Databricks would be added advantage

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

Exposure to various ETL and Business Intelligence tools

Experience in shell scripting to automate pipeline execution.

Solid grounding in Agile methodologies

Experience with git and other source control systems

Strong communication and presentation skills

Nice-to-have skills

Certification in Hadoop/Big Data Hortonworks/Cloudera

Databricks Spark certification

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

Qualifications

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

Interview Process:

in-person interviews