AWS Data Engineer

Zorba AI; Mumbai; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Zorba AI is seeking a Data Engineer to design and optimize scalable data solutions using PySpark, Databricks, Python, SQL, and AWS. The role focuses on building ETL pipelines, processing large datasets, and employing best practices in a cloud environment.

The candidate will develop data pipelines with PySpark and Databricks, craft efficient SQL, and create reusable transformation frameworks in Python, leveraging AWS services like S3, Glue, and EMR.

Qualifications

• 3–8 years of relevant data engineering experience.
• Hands-on with PySpark, Databricks, Python, SQL, and AWS.
• Experience building scalable ETL pipelines and cloud data solutions.

Responsibilities

• Develop data pipelines using PySpark and Databricks.
• Write efficient SQL queries and optimize queries.
• Build reusable data transformation frameworks in Python.

Skills

PySpark

Databricks

Python

SQL

AWS

Job description

Job Title: Data Engineer – PySpark, Databricks, AWS

We are looking for a skilled Data Engineer with hands-on experience in PySpark, Databricks, Python, SQL, and AWS to build and optimize scalable data solutions. The ideal candidate should have experience designing and developing ETL pipelines, processing large datasets, and implementing data engineering best practices in a cloud environment.

Key responsibilities include developing data pipelines using PySpark and Databricks, writing efficient SQL queries, building reusable data transformation frameworks using Python, and leveraging AWS services such as S3, Glue, EMR, or Lambda for data processing. The candidate should be familiar with Delta Lake, performance optimization, data quality, and workflow orchestration. Experience with CI/CD, Git, Agile methodologies, and data warehouse concepts is preferred.

The ideal candidate should possess strong analytical and problem-solving skills, excellent communication abilities, and the capability to work in a collaborative, fast-paced environment. Knowledge of Spark optimization, data modeling, and cloud-native data architectures will be an added advantage.

Required Skills: PySpark, Databricks, Python, SQL, AWS

Experience: 3–8 years (or as per requirement)

Location: Open

Notice Period: Immediate to 30 days preferred

Skills: python,pyspark,sql,data,aws