Techila
Techila/Careers/AWS ETL Engineer
OnsiteHyderabad5–10 yrsApply by Jun 21, 2026

AWS ETL Engineer

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Apply Now →← All Jobs

Experience

5–10 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Jun 21, 2026

Required Skills

AWSETLGluePython

Job Description

AWS ETL Engineer(AWS, Glue, Python) Hyderabad · Full-time · Onsite

About the Role We are seeking a Senior Data Engineer to lead the development of high-performance data infrastructure, bridging the gap between serverless AWS compute and enterprise-scale data warehousing in Snowflake. The role involves building lean, automated, and highly observable data pipelines that transform raw data into actionable insights. The candidate will work on designing and deploying event-driven data processing tasks and building sophisticated workflows.

Key Responsibilities

  • Lead the development of high-performance data infrastructure
  • Bridge the gap between serverless AWS compute and enterprise-scale data warehousing in Snowflake
  • Build lean, automated, and highly observable data pipelines that transform raw data into actionable insights
  • Design and deploy event-driven data processing tasks using AWS Lambda and Python
  • Build and manage sophisticated workflows using Apache Airflow and AWS Step Functions
  • Develop scalable ETL and ELT pipelines using AWS Glue with Spark and Python along with Snowflake native capabilities
  • Perform ad hoc analysis using Amazon Athena for schema on read queries and rapid data discovery within S3 data lakes
  • Implement comprehensive monitoring, logging, and alerting for data pipelines using Amazon CloudWatch
  • Optimize queries by writing and tuning complex SQL for efficient processing in Snowflake and traditional relational database environments

Requirements

  • Have over 5 years of experience in a data engineering role with a focus on cloud-native architectures
  • Possess strong proficiency in Python for data manipulation and SQL
  • Have deep expertise in AWS services including Glue, Lambda, Step Functions, Athena, and CloudWatch
  • Have proven experience in designing and managing data in Snowflake including virtual warehouses, clustering, and data sharing
  • Have hands-on experience in Apache Airflow
  • Have strong operational expertise including monitoring distributed systems and debugging cloud-based ETL failures
  • Have experience with CI/CD practices, version control using Git, and unit testing

Good to Have

  • Experience with DataStage, Oracle, and other relational database systems
  • Prior experience working with banking clients
  • Exposure to cloud platforms such as AWS

What We Offer No information available.

At a Glance

Work ModeOnsite
EmploymentFull-time
Experience5–10 yrs
Openings1
LocationHyderabad
DeadlineJun 21, 2026
Apply for this Role →

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

  1. STEP 0130 min

    Screening Call

    Introductory conversation with our talent team to understand your background and motivations.

  2. STEP 0260–90 min

    Technical Round

    Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

  3. STEP 0345 min

    Culture Fit

    Conversation with practice leadership covering working style, ownership, and how you collaborate.

  4. STEP 04Within 5 days

    Offer

    Formal offer with full compensation breakdown, start date, and onboarding plan.

Apply

AWS ETL Engineer

Fill in your details and attach your resume below.