Aws Data Engineer

Tekskills Inc.; Kolkata District; On-site; INR 1,200,000 - 2,250,000; Full time

Job summary

Tekskills Inc. is seeking a skilled AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms. The role focuses on Databricks, Spark, PySpark, SQL and AWS services to deliver robust data flows and insights.

You will collaborate with data engineers, analysts, and business stakeholders to implement governance, security, and best practices across workflows and infrastructure.

Qualifications

• Experience with Databricks, Spark, and AWS on cloud data platforms.
• Strong Python/SQL skills and data engineering experience.
• Experience building ETL/ELT pipelines and data integration across sources.

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