Data Engineer

Job Description

Must 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