
Hiring For Data Engineer/Senior Data Engineer For MNC
5 days ago
Note- Associate "Already applied in NCS, will not be eligible"
Role & responsibilities
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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