Data Engineer

• 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 template development • Data pipeline Monitoring development & support (operations)

• On-premise servers for data processing and extraction

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

• Fluency in complex SQL and experience with RDBMSs

• (Bigdata, 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 Azure Cloud services like (Azure Data Factory, Databricks, ADLS, Azure HD Insights, Azure Synapse, Azure Data warehouse)

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

• Exposure to various ETL and Business Intelligence tools

• Solid grounding in Agile methodologies

• Experience with git and other source control systems

• Strong communication and presentation skills

• Certification in Hadoop/Big Data – Hortonworks/Cloudera

• Azure Cloud 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

Qode