Senior Data Engineer

2 weeks ago

Bengaluru, India Domniclewis Full time

Who You Are :

- Bring 5 to 8 years of professional expertise in data engineering, data warehousing, and data modeling.

- Possess a robust command of SQL (essential) and intermediate proficiency in Python.

- Demonstrate skill in managing large volumes of data and developing scalable, performant SQL queries.

- While a Bachelor's degree in computer science or related field is preferred, it's not mandatory.

- Have a proven track record in ETL/ELT concepts and methodologies.

- Excel in data analytics tasks including wrangling, mining, integration, analysis, visualization, modeling, and reporting using BI tools.

- Expertise in primary skills such as Data Warehousing, SQL, along with secondary skills encompassing APIs, Spark, GIT/CICD, Snowflake, Python, and AWS services.

What Sets You Apart :

- Familiarity and hands-on experience with S3, Lambda, and Snowflake.

- Exposure to integrating SAP as a data source within Snowflake and AWS environments.

- Knowledge of Qlik Replicate and Denodo for data virtualization, enhancing data accessibility and agility.

- Previous experience in the finance domain, particularly with delivering data engineering projects related to SAP FICO, will be highly advantageous.

- Shift Timings : 12 PM to 9 PM IST.

(ref:hirist.tech)

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