Mid-Level Data Engineer_6+yrs_Hyderabad (Hyderabad)

Mid-Level Data Engineer_6+yrs_Hyderabad (Hyderabad)

06 Sep
|
Arminus
|
Hyderabad

06 Sep

Arminus

Hyderabad

Mid Level Data Engineer - 4816

IT · Development Team

Overview

Location: onsite · Hyderabad

Employment Type: full time

Experience: 6+ years

Compensation: INR 1,025,280 - 1,281,600

Key Skill Requirements:
- Strong experience in Python
- Hands-on expertise with AWS services, particularly:
- EMR (mandatory and most critical skill)
- EC2
- Lambda
- Candidate should have experience with EMR performance and cost optimization
- Other AWS services can be adaptable based on overall profile strength

Other notes:

Strong Real-World Data Engineering Experience

Not just theoretical knowledge.

Wants engineers who can demonstrate:
- Practical implementation experience
- Real production environments
- Solving actual business problems
- Experience working through technical challenges
- Understanding why decisions were made, not just what was built
- Looking for people with "practical knowledge and real-time experience."

Candidates Who:
- Are naturally curious
- Continuously learn
- Adapt quickly to new technologies
- Enjoy solving new problems
- Demonstrate initiative




- Show flexibility as technologies evolve

Experience Required

• Extracted: 6+ years of experience in data engineering, distributed systems, or backend platforms

Overview

Senior Data Engineer role focused on designing, developing, and optimizing large-scale data platforms and backend systems. The position emphasizes building API-driven data services, managing distributed batch data processing, and optimizing cloud workflows on AWS (with mandatory EMR). Work includes orchestration with Apache Airflow and building/maintaining pipelines using Spark, SQL, Hive, Python, and Scala.

Key Responsibilities

• Design and develop API-driven systems for managing large-scale batch data applications

• Build scalable backend services and data engineering solutions

• Develop and maintain data pipelines using Spark, SQL, Hive, Python, and Scala

• Design and optimize workflows using Apache Airflow (DAG design, scheduling,

📌 Mid-Level Data Engineer_6+yrs_Hyderabad (Hyderabad)
🏢 Arminus
📍 Hyderabad

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