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Job Description
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:
The initial round will be conducted virtually. Candidates shortlisted from the first round will be invited for in-person interviews for the second and third rounds. If selected, the offer will be released post final discussion.
