Aws Data Engineer

Tekskills; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tekskills in Gurugram, India, seeks an AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms. You will leverage Databricks, Spark, PySpark, and SQL to deliver robust data workflows.

You'll integrate data from multiple sources, implement governance and security best practices, and collaborate with data engineers, analysts, and stakeholders to turn data into actionable insights using AWS services like S3, Redshift, Glue, and

Qualifications

• Strong experience with Databricks, Spark, PySpark, and SQL.
• Hands-on experience with AWS cloud services (S3, Glue, Redshift, EMR, Lambda).
• Experience in building data pipelines and data warehousing solutions.
• Knowledge of CI/CD, Git, and Agile methodologies.
• Good communication and problem-solving skills.

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.
• Collaborate with data engineers, analysts, and business stakeholders.

Skills

Databricks

Spark

PySpark

SQL

AWS

Python

ETL/ELT

Data pipelines

CI/CD

Git

Agile

Tools

Airflow

Kafka

Delta Lake

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.

Key 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:

• Strong experience with Databricks, Spark, PySpark, and SQL
• Hands‑on experience with AWS cloud services (S3, Glue, Redshift, EMR, Lambda)
• Experience in building data pipelines and data warehousing solutions
• Knowledge of CI/CD, Git, and Agile methodologies
• Good communication and problem‑solving skills

Nice to Have:

• Experience with Delta Lake, MLflow, or Lakehouse architecture
• Exposure to Airflow, Kafka, or streaming data pipelines