Aws Data Engineer

Tekskills Inc.; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Tekskills Inc. in Hyderabad is seeking an AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics on cloud platforms.

This role is based in Hyderabad, India, and offers hands-on impact across multiple data domains. You will work with Databricks, Spark, PySpark, Python, SQL, and AWS services including S3, Glue, Redshift, Lambda, and EMR to deliver robust data solutions and governance.

Qualifications

• Experience designing data pipelines on Databricks and Spark.
• Proficient in Python, SQL, and PySpark for ETL/ELT workflows.
• Experience integrating data from structured and unstructured sources.

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, security, and best practices.
• Collaborate with data engineers, analysts, and business stakeholders.

Skills

Databricks

Spark

PySpark

SQL

AWS

S3

Glue

Redshift

EMR

Tools

Delta Lake

Airflow

Kafka

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