Aws Data Engineer

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

Job summary

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

The ideal candidate should have hands-on experience with Databricks, Spark, and AWS services. The role involves designing scalable pipelines, building ETL/ELT workflows with Python, SQL, and PySpark, and integrating data from multiple sources while ensuring governance and security best practices.

Qualifications

• Hands-on experience designing scalable data pipelines on Databricks/Spark.
• Proficient in building ETL/ELT workflows using Python, SQL, PySpark.
• Experience integrating data from multiple sources (structured & unstructured).
• Knowledge of optimizing data processing on Databricks clusters.

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.

Tools

Databricks

Spark

PySpark

SQL

AWS

S3

Glue

Redshift

EMR

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