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Job Description:
· Bachelor’s degree in fields of Computer Science, Statistics or an equivalent.
· Should have minimum of 4 years of experience in building ETL pipelines.
· Should have experience working with big data systems.
· Should have experience in working with Hadoop, Spark, Hive.
· Should have experience working with either of the NoSQL database – Hbase, MongoDB, Redis.
· Should have the ability to design and build big data pipelines.
· Should have proficiency in coding in Python or Scala.
· Should have the ability to write complex SQL, Stored procedures, functions, triggers.
· Should have experience in working with all types of data sources – database, CSV, Excels, JSON, XML, API’s, others.
· Should have experience with command-line scripting – automating jobs, managing services.
· Should have experience in deploying workloads in a production environment, troubleshooting defects, improving performance.
· Should have experience in Splunk or Google Analytics
· Should have experience working with Cloud-based technologies. Experience with AWS is a plus.
· Should possess good communication skills and ability to interact with Customers.
Responsibilities
· Interact with stakeholders to understand and implement new requirements.
· Bring best practices to the table to enhance data warehouse efficiency.
· Build processes and methodologies to implement new solutions.
· Design and build data pipelines for data movement and transformation across domains.
· Contribute and create a motivating work environment within the team.
· Mentor other team members and promote opportunities.
About Company:
