AWS Data Engineer

Aurionpro; Gurugram District, Chennai District, Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Snowflake experience

Job summary

Aurionpro is seeking a highly skilled Data Engineer with strong experience in AWS-based data platforms and modern data engineering technologies. You will design and optimize large-scale data processing solutions across cloud-native architectures.

Location: Gurugram, Bangalore, or Chennai. 6-8 years in data engineering and data warehousing, with Python, Spark, SQL, and CI/CD practices. Experience with Snowflake is a plus.

Qualifications

• 6 to 8 years of experience in Data Engineering and Data Warehousing.
• Hands-on with Amazon SageMaker Unified Studio (SMUS).
• Experience with AWS Glue, S3, EMR, Athena, Airflow.
• Strong proficiency in Apache Spark and Spark SQL.
• Experience designing and optimizing large-scale data processing solutions.
• Strong SQL and data analysis skills.
• Knowledge of data modelling, performance tuning, and data optimization.
• Knowledge of CI/CD practices and DevOps principles.
• Experience with data lake and cloud-native architecture patterns.

Skills

Data engineering

Data warehousing

Python

SQL

Spark

Spark SQL

Cloud architecture

CI/CD

DevOps

Snowflake

Airflow

SageMaker

S3

Glue

EMR

Athena

SageMaker Unified Studio

Tools

SageMaker Unified Studio

Airflow

Snowflake

Spark

Python

S3

Glue

EMR

Athena

Job description

A highly skilled Data Engineer with strong experience in AWS-based data platforms and modern data engineering technologies.

Location : Gurugram / Bangalore / Chennai

Mandatory Skills :

6 to 8 years of experience in Data Engineering and Data Warehousing.

Strong hands-on experience with Amazon SageMaker Unified Studio (SMUS).

Good experience with AWS services including: AWS Glue, Amazon S3, Amazon EMR, AWS Athena, Airflow Dags.

Strong proficiency in Apache Spark and Spark SQL.

Experience in designing and optimizing large-scale data processing solutions.

Strong SQL and data analysis skills.

Knowledge of data modelling, performance tuning, and data optimization techniques.

Good to vave, Working experience with Snowflake.

Good hands-on experience with Python for data engineering and automation.

Knowledge of CI/CD practices and DevOps principles.

Experience with data lake and cloud-native architecture patterns.