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Lead Data Engineer – Big Data
2 months ago
- 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 skillsNice-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 environmentQualifications
- B.Tech./M.Tech./MS or BCA/MCA degree from a reputed universityLooking for only 30 days' notice period or less than that.
