Data Engineer

Job TitleMust have skill: Snowflake, DBT, Airflow Required skill & experience: 6 years+ on Snowflake – advanced SQL expertise. 4 years+ on data warehouse experiences – hands on knowledge with the methods to identify, collect, manipulate, transform, normalize, clean, and validate data, star schema, normalization denormalization, dimensions, aggregations etc, 4+ Years experience working in reporting and analytics environments – development, data profiling, metric development, CICD, production deployment, troubleshooting, query tuning etc, 3 years+ on Python – advanced Python expertise 3 years+ on any cloud platform – AWS preferred – hands on experience on AWS on Lambda, S3, SNSSQS, EC2 is bare minimum, 3 years+ on any ETL / ELT tool – Informatica, Pentaho, Fivetran, DBT etc. 3+ years with developing functional metrics in any specific business vertical (finance, retail, telecom etc), Must have soft skills: Clear communication – written and verbal communication, especially with time off, delays in delivery etc. Team Player – Works in the team and works with the team, Enterprise Experience – Understands and follows enterprise guidelines for CICD, security, change management, RCA, on-call rotation etc, Nice to have: Technical certifications from AWS, Microsoft, Azure, GCP or any other recognized Software vendor, 4 years+ on any ETL / ELT tool – Informatica, Pentaho, Fivetran, DBT etc. 4 years+ with developing functional metrics in any specific business vertical (finance, retail, telecom etc), 4 years+ with team lead experience, 3 years+ in a large-scale support organization supporting thousands of users.