- Experience: Min 5 Years
- Must have good technical experience and should be able to understand and develop the modules and bring the task to closure on time.
- At least 4+ years of development work experience in Hadoop programming (HDFS) using PySpark/Scala/Java with Hive-based Data warehouse projects. And, with good Shell Scripting experience.
- Able to Understand the requirements and ingest the data into the Bigdata platform using Spark with HIVE.
- Should be able to write the SQL scripts and write few complex SQL Scripts to process the data with SCD handling exposure.
- Responsible for meeting the quality, and scope as per the project plans must be able to meet the stringent timelines.
- Flexible to work as per the regional timing.
- Excellent communication and documentation skills
- Very good at team playing and flexibility to work with the Offshore team in different time zones based on project needs.
- Willingness to do Certification in Databricks Certified Developer: Apache Spark 3. X
Nice to Have
- Autosys, Bit bucket, Jenkin, etc.
- Proactive, and have good communication skills to articulate technical issues.
- Exposure to is Confluence/JIRA
- Should be able to work independently Prior Experience to any Databases like Oracle/SQL Server/ETL will be added advantage.
- At least 1+ years of Module Lead Experience
- Hands-on experience in data analysis and debugging the issues in SQL.
- Performance tuning the Hive QLs and the Cluster nodes Functional Testing Functional Test plan and execution experience.
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