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
- Valuable 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

📌 Data Engineer Developer (Bengaluru)
🏢 The IT Mind Services
📍 Bengaluru