Data Engineer Developer

Job highlights

• Expertise on engineering platform components such as Data Pipelines,Data Orchestration,Data Quality,Data Governance & Analytics . Hands-on experience on implementing large-scale data intelligence solution around Snowflake DW .

• Experience working with Semi-Structured data. Good-to-Have: .

• Must have 4+ years of IT experience, relevant experience of at least 2 years in Snowflake.

• In-depth understanding of Data Warehousing, ETL concepts and modeling structure principles

• Experience working with Snowflake Functions, hands on exp with Snowflake utilities, stage and file upload features, time travel, fail safe,procedure writing,tasks,snowpipe, SnowSQL

• Knowledge on Snowflake Architecture

• Good knowledge of Advanced SQL with Joins, Views/Materialized, various Functions, Dimensional Data Modeling and ETL procedures using SQL.

• Experience in Python functional programming is a must with Pandas, Apache Airflow etc.,

• Basics of ML & Gen AI

• Expertise on engineering platform components such as Data Pipelines, Data Orchestration, Data Quality, Data Governance & Analytics

• Hands-on experience on implementing large-scale data intelligence solution around Snowflake DW

• Experience working with Semi-Structured data.

Good-to-Have:

• Excellent interpersonal, organizational, written communication, oral communication and listening skills
• Should come up with the work estimation and should provide inputs to managers on resource and risk planning.
• Strong knowledge and hands-on experience on Unix shell scripting
• Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time status
• Familiarity with Data Visualization Tools(Tableau, BOBJ),Knowledge on Cloud Data eco-system