
High Salary Senior Data Engineer
4 weeks ago
Essential for this role:
Education and Qualifications:
Bachelors degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent.
Minimum seven plus years of experience in data analytics field
Experience with Azure/AWS Databricks
Experience in building and optimizing data pipelines, architectures and data sets
Excellent experience in Scala or Python, PySpark and SQL
Ability to troubleshoot and optimize complex queries on the Spark platform
Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques
Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS
Hands on experience in performance tuning and optimizing code running in Databricks environment
Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment
Technical / Professional Skills :
Excellent communication skills / should interact directly with the customer
Azure/AWS Databricks
Python / Scala / Spark / PySpark
HIVE / HBase / Impala / Parquet
Sqoop, Kafka, Flume
Very Strong SQL and RDBMS
Airflow
Jenkins / Bamboo
Github / Bitbucket
Nexus
Knowledge on Delta Live Tables (DLT) will be an added advantage
Good to have:
Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks
Data Engineering expertise in Big Data Management using Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure
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