Aws Data Engineer

Tekskills Inc.; Chennai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tekskills Inc. in Chennai seeks an AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms. You will work with Databricks, Spark, and AWS to deliver robust data processing capabilities.

The role requires hands-on experience with Databricks, Spark, PySpark, SQL, and AWS services such as S3, Glue, Redshift, and EMR, plus a focus on data governance and security.

Qualifications

• Proficiency with Databricks, Spark, and PySpark in data engineering workflows.
• Experience building ETL/ELT pipelines using Python and SQL.
• Experience optimizing large-scale data processing on cloud platforms.

Responsibilities

• Design and develop scalable data pipelines using Databricks and Apache Spark.
• Build ETL/ELT workflows using Python, SQL, and PySpark.
• Integrate data from multiple sources (structured & unstructured).
• Optimize data processing on Databricks clusters.
• Work with AWS services like S3, Glue, Redshift, Lambda, EC2, and RDS.
• Implement data governance and security best practices.
• Collaborate with data engineers, analysts, and business stakeholders.

Skills

Data engineering

ETL design

Tools

Databricks

Spark

PySpark

SQL

AWS

S3

Glue

Redshift

EMR

Job description

We are looking for a skilled AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms. The ideal candidate should have strong hands‑on experience with Databricks, Spark, and AWS services.

Responsibilities

• Design and develop scalable data pipelines using Databricks and Apache Spark
• Build ETL/ELT workflows using Python, SQL, and PySpark
• Integrate data from multiple sources (structured & unstructured)
• Optimize data processing and performance on Databricks clusters
• Work with AWS services like S3, Glue, Redshift, Lambda, EC2, and RDS
• Implement data governance, security, and best practices
• Collaborate with data engineers, analysts, and business stakeholders

Required Skills

• Databricks
• Spark
• PySpark
• SQL
• AWS
• S3
• Glue
• Redshift
• EMR

Nice to Have

• Delta Lake, MLflow, or Lakehouse architecture
• Airflow, Kafka, or streaming data pipelines