• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 2nd Jul 2022

• Establish data model design based on business requirements. Should be hands on.
• Develop end to end streaming and batch data analytics pipelines. From data ingestion, processing, storage, analysis to visualization. 
• Understand big-data principles and best practices
• Perform code reviews, ensure code quality and encourage a culture of excellence.
• Coach team members in the design of database solutions/optimization/Schema design 
• Troubleshoot performance and optimize database design. 
• Be a front face of the company in front of customers and prospects.

Required Skills

• 1+ years of strong technology experience in the field of transactional data and analytics systems
• Should understand and be able to command architecture design for transactional and analytics systems.
• Strong SQL skills /technologies (SQL Server, Oracle, Redshift and Bigquery)
• Proficient in building and optimizing big data data pipelines, architectures and datasets using technologies like Spark, Hive, AWS Data Pipeline, Azure Data Factory, BigQuery, and Apache Airflow etc
• Experience in building reusable and metadata driven components for data ingestion, transformation and delivery
• Cloud Experience- Should have experience with Cloud data products of GCP, AWS or Azure (BigQuery, Dataflow, Azure Databricks, Glue, Redshift etc.)
• Experience in Agile Methodologies
• Familiarity with source repositories (Git, BitBucket etc.)
• Excellent communication skills

Desired Certification:

• Google Cloud Certified Professional Data Engineer or Relevant certification in AWS/Azure