Data Engineer
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Key skills for this role
Key Skills for This Role
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Key Responsibilities
- Develop and maintain data pipelines and data processing workflows.
- Work with structured and semi-structured data across different data sources.
- Write and optimize SQL queries for data transformation and analysis.
- Support ETL/ELT processes and data integration activities.
- Work with modern cloud data platforms such as Snowflake and Databricks .
- Learn and apply technologies such as PySpark, Delta Lake, AWS Glue, Azure Data Factory etc.. as required.
- Perform data validation, quality checks, and troubleshooting.
- Monitor and resolve data pipeline issues.
- Collaborate with data analysts, engineers, and business teams to deliver reliable data solutions.
- Follow good practices around coding, testing, documentation, and version control.
Required Skills
- 2–4 years of experience working with data, data engineering, analytics engineering, or related areas .
- Good understanding of SQL and relational databases.
- Experience with ETL/ELT, data pipelines, or data transformation .
- Understanding of basic data warehousing and data modelling concepts.
- Exposure to at least one data processing, database, or cloud technology.
- Good analytical and problem-solving skills.
- Ability and willingness to learn new technologies quickly.
About Argano
Privately held digital transformation consultancy serving Fortune 1000 companies with technology, process, and AI modernization services.
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