AWS Data Engineer

Zorba AI; Chennai District; On-site; INR 800,000 - 1,800,000; Full time

Job summary

Zorba AI in India is seeking a Data Engineer with hands-on PySpark, Databricks, Python, SQL and AWS experience to design and optimize scalable data solutions for cloud workloads.

You will build data pipelines, implement Delta Lake concepts, and collaborate on CI/CD and data warehousing best practices in a fast-paced team. Notice period: Immediate to 30 days preferred.

Qualifications

• Experience designing and developing ETL pipelines for large datasets.
• Strong knowledge of data warehousing concepts and cloud data architectures.
• Familiarity with Delta Lake, performance optimization, and data quality.

Responsibilities

• Develop data pipelines using PySpark and Databricks.
• Write efficient SQL queries and build reusable data transformation frameworks in Python.
• Leverage AWS services for data processing (S3, Glue, EMR or Lambda).
• Collaborate on CI/CD, version control, and agile workflows.

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