AWS Databricks Engineer

Tekskills Inc.; Kolkata District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Gurgaon is seeking an AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms, with hands-on experience in Databricks, Spark, and AWS services.

The role requires 5+ years of experience, strong SQL and PySpark skills, and collaboration with data engineers and stakeholders. You will work with S3, Glue, Redshift, Lambda, and EMR while implementing governance and best practices in a fast-paced environment.

Qualifications

• 5+ years of experience in data engineering or analytics.
• Strong hands-on with Databricks, Spark and AWS services.
• 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.
• 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

Communication

Tools

AWS

S3

Glue

Redshift

EMR

Lambda

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.