AWS Databricks Engineer

Tekskills Inc.; Mumbai; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Tekskills Inc. is hiring an AWS Databricks Engineer in Gurgaon to design and optimize scalable data pipelines and analytics on cloud platforms. You will work with Databricks, Spark, and PySpark to build robust ETL/ELT workflows and integrate diverse data sources.

The role requires 5+ years of hands-on AWS Databricks experience, strong SQL, and collaboration with data teams and stakeholders. The position emphasizes governance, security, and best practices in a fast-paced environment.

Qualifications

• 5+ years of hands-on experience with AWS Databricks.
• Proficient in Databricks, Spark, PySpark, and SQL.
• Experience building data pipelines and data warehouses.

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.

Skills

Databricks

Spark

PySpark

SQL

CI/CD

Git

Agile methodologies

Tools

S3

Glue

Redshift

EMR

Lambda

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.