AWS Databricks Engineer

Tekskills Inc.; Delhi; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Tekskills Inc. in Gurgaon, India, seeks an AWS Databricks Engineer with 5+ years of experience to design, build, and optimize scalable data pipelines on cloud platforms. The role focuses on Databricks, Spark, PySpark, and AWS services.

You will develop ETL workflows, integrate multi-source data, and collaborate with data teams to drive analytics initiatives while adhering to governance and security best practices.

Qualifications

• 5+ years of hands-on data engineering and cloud experience.
• Strong skills in Databricks, Spark, PySpark, and SQL.
• Proficiency with AWS services (S3, Glue, Redshift, Lambda).

Responsibilities

• Design and build scalable data pipelines on Databricks.
• Develop ETL/ELT workflows using Python, SQL, and PySpark.
• Optimize performance on Databricks clusters and data warehouses.
• Collaborate with data engineers, analysts, and business stakeholders.
• Implement data governance, security, and best practices.

Skills

Databricks

Spark

PySpark

SQL

AWS services

CI/CD

Git

Agile

Communication

Tools

Delta Lake

Airflow

Kafka

Job description

Role: AWS Data Bricks

Experience: 5+ Years

Location: Gurgaon

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

Note

Gurgaon location mandatory. Immediate joiners preferred.