Data Engineer

JD for Data Engineer :

Hiring : Mid-Level Data Engineer

Location : Delhi

Experience Required : 2-4 Year

Job Type : Full-Time

Key Skills Required :

- Design, build, and maintain

- Implement and enforce data modeling standards

- Build data pipelines using a Medallion Architecture

- Develop and optimize composable data architectures

- Develop and optimize data transformation processes

- Write and optimize complex SQL queries and Python scripts

- Implement and orchestrate data workflows

-Utilize AWS cloud services such as Lambda ,Glue ,S3 ,Athena and Redshift ,to build robust data solutions.

Requirements

-Strong proficiency in SQL and Python is a must, with a focus on data manipulation and analysis.

-Good understanding of data modeling concepts and experience with various o deling techniques in a financial context.

-Strong understanding of Medallion and composable data architectures-Solid understanding of data architecture concepts including Data Lake, Data Warehouse,and Data Lakehouse

-Hands-on experience with AWS cloud services, including but not limited toS3, Redshift,Athena, Glue, EMR, and Lambda

-Experience with open-source data tools like Airflow, DBT, and Airbyte

-Familiarity with Hive & Iceberg tables is essential.

-Proven experience building and maintaining data pipelines

-Experience with reporting or business intelligence tools (e.g., Metabase).

Were Looking for Someone Who :

- Is eager to explore and learn new data technologies

- Can collaborate effectively in a team environment

- Brings attention to detail and a problem-solving mindset

- Communicates well with both technical and non-technical stakeholders

Skills Required
Data Modeling, Hive, Data Warehouse, Sql, dbt, Data Lake, Airflow, Python