Job Location: Gurgaon/Gurugram
Qualifications
Educational Background or qualifications
Bachelor or master s degree preferably in Computer Science Computer Engineering or related discipline
Requirements: Advanced SQL knowledge and experience of working with a variety of databases
Experience with Data Warehouse or Data Lake Architecture and Development Ability to lead define and set standards for Data Engineering tools andamp; standards to improve the overall productivity and quality of Data Engineering team.
Familiarity with various tools such as Kubernetes Docker and a open mindset for automation and familiarity with DevOps tools. Strong familiarity and knowledge of industry best practices and processes in Data quality and Data security .DataOps.
Hands-on working knowledge of NoSQL and MPP data platforms like Hbase MongoDb Cassandra AWS Redshift Azure SQLDW GCP BigQuery etc.
Hands-on experience in working with programming languages such as Python or Java or Scala
Working experience with Big Data technologies such as Hadoop Kafka NoSQL databases
Experience with AWS or GCP cloud deployment models
Experience on working in cloud data migration projects Working experience in one of the cloud platform GCP or AWS or Azure is must
Working experience with Big Query or Snowflake or Redshift .at least one of them. Strong ability to plan and manage processes people and projects simultaneously
Experience of developing data pipelines using tools such as Spark Python AWS Glue Azure Data Factory Ability to estimate organize plans communicate and follow through on implementation Ensure design and code quality guidelines are set and followed by the team Hold team members accountable to their responsibilities
Dynamic individual who demonstrates a very positive attitude Strong analytical and communication skills
Excellent written and verbal communication skills
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