AWS Data Engineer

Saransh Inc; Hyderabad; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading tech firm is growing its Data Engineering Team and is looking for a Data Engineer with 7-14 years of AWS Data Engineering experience. The role involves designing ETL pipelines, optimizing data models, and collaborating on data-driven solutions. Candidates should possess advanced skills in PySpark, AWS services, SQL, and Python, and be comfortable in a hybrid work environment.

Qualifications

• 7–14 years of experience in AWS Data Engineering.
• Hands-on with big data & cloud-native ecosystems.
• Strong analytical and problem-solving skills.
• Comfortable working in a hybrid environment.

Responsibilities

• Design, build, and optimize ETL pipelines on AWS.
• Develop and optimize data models for performance & efficiency.
• Write complex SQL queries for analytics and reporting.
• Collaborate with stakeholders to define and deliver data-driven solutions.
• Implement and maintain AWS-based data architectures.
• Ensure best practices in performance tuning, cost optimization, and scalability.
• Work in Agile teams to deliver business-critical projects.

Skills

PySpark

AWS Services

SQL

ETL Development

Python

Data Modeling

Job description

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Direct message the job poster from Saransh Inc

We’re Growing Our Data Engineering Team!

Join us at our Pan-India Walk-In Drive this Saturday, 23rd August and be part of our mission to build world-class cloud-native data solutions.

Experience: 7 to 14 years (only relevant profiles will be considered)

Locations: Hyderabad | Bangalore | Pune | Chennai

Work Timing: 2:00 PM – 11:00 PM

Work Mode: FTE-Hybrid

Must-Have Skills

• PySpark – advanced performance optimization
• AWS Services – Redshift, Glue, Athena, Lambda, DMS, RDS, CloudFormation
• SQL – strong query-writing and optimization
• ETL Development – pipelines for structured & unstructured data
• Python – robust coding skills
• Data Modeling – scalable and performance-driven design

Key Responsibilities

• Design, build, and optimize ETL pipelines on AWS
• Develop and optimize data models for performance & efficiency
• Write complex SQL queries for analytics and reporting
• Collaborate with stakeholders to define and deliver data-driven solutions
• Implement and maintain AWS-based data architectures
• Ensure best practices in performance tuning, cost optimization, and scalability
• Work in Agile teams to deliver business-critical projects

Ideal Candidate

• 7–14 years of experience in AWS Data Engineering
• Hands-on with big data & cloud-native ecosystems
• Strong analytical and problem-solving skills
• Comfortable working in a hybrid environment

Apply now or walk in directly at our offices across the mentioned locations.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting and Software Development

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