Data Engineer ( AWS & Databricks)

Tekskills; Bulandshahr; Hybrid; INR 1,200,000 - 2,100,000; Full time

Job summary

Tekskills is seeking an experienced Data Engineer in India to build scalable data pipelines using Databricks and AWS services. You will work hands-on with Python, Scala, and SQL, design ETL processes, and optimize data workflows in an Agile setting.

The role focuses on data ingestion, processing, and delivering high-quality data solutions, collaborating with cross-functional teams to meet business requirements and ensure reliable Databricks operations.

Qualifications

• 3+ years of hands-on Databricks experience.
• 5+ years of experience with AWS data engineering services.
• Strong proficiency in Python and Scala.
• Experience with ETL development and SQL.
• Knowledge of workflow orchestration tools.
• Experience with monitoring, tuning, and debugging Databricks jobs.
• Ability to perform root cause analysis and improve data quality.
• Experience working in Agile teams and using JIRA.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and AWS services.
• Hands-on development using Python, Scala, and SQL.
• Orchestrate workflows and manage job scheduling.
• Optimize and monitor Databricks jobs for performance and reliability.
• Work with large-scale datasets and implement best practices for data ingestion and processing.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Perform root cause analysis and performance tuning.
• Document data engineering processes and developer guides.
• Work in an Agile environment using JIRA.

Skills

Databricks

AWS data services

Python

Scala

SQL

ETL development

Workflow orchestration

JIRA

Data quality

Agile teamwork

Job description

Job Description

We are seeking an experienced and hands-on Data Engineer with strong expertise in AWS and Databricks to join our growing data engineering team. The ideal candidate will be passionate about building scalable data pipelines and delivering high-quality data solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and AWS services
• Hands-on development using Python, Scala, and SQL
• Orchestrate workflows and manage job scheduling
• Optimize and monitor Databricks jobs for performance and reliability
• Work with large-scale datasets and implement best practices for data ingestion and processing
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Root cause analysis and performance tuning
• Document data engineering processes and developer guides
• Work in an Agile environment using tools like JIRA
• Batch ETL experience is essential; real-time pipeline experience is a plus
• Exposure to Google Cloud Platform (GCP) is a plus

Required Skills & Experience

• 3+ years of hands-on experience with Databricks
• 5+ years of experience with AWS data engineering services
• Strong proficiency in Python and Scala
• Experience with ETL development and SQL
• Knowledge of workflow orchestration tools
• Experience with monitoring, tuning, and debugging Databricks jobs
• Ability to perform root cause analysis and improve data quality/processes
• Experience working in Agile teams and using JIRA