Job Title: Data Engineer

Location: Hyderabad

Experience: 5+Years

Work Mode: WFO – 5Days

Job Summary:

We are looking for a skilled and experienced Data Engineer with over 5 years of experience in data engineering and data migration projects. The ideal candidate should possess strong expertise in SQL, Python, data modeling, data warehousing, and ETL pipeline development.

Experience with big data tools like Hadoop and Spark, along with AWS services such as Redshift, S3, Glue, EMR, and Lambda, is essential. This role provides an excellent opportunity to work on large-scale data solutions, enabling data-driven decision-making and operational excellence.

Key Responsibilities:

- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data models and data warehouse architectures.
- Implement and manage big data technologies and cloud-based data solutions.
- Perform data migration, data transformation, and integration from multiple sources.
- Collaborate with data scientists, analysts, and business teams to understand data needs and deliver solutions.
- Ensure data quality, consistency, and security across all data pipelines and storage systems.
- Optimize performance and manage cost-efficient AWS cloud resources.

Basic Qualifications:

- Master’s degree in computer science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent.
- 5+ years of experience in Data Engineering and data migration projects.
- Proficient in SQL and Python for data processing and analysis.
- Strong experience in data modeling, data warehousing, and building data pipelines.
- Hands-on experience with big data technologies like Hadoop, Spark, etc.
- Expertise in AWS services including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
- Understanding of ETL development best practices and principles.

Preferred Qualifications:





- Knowledge of data security and data privacy best practices.
- Experience with DevOps and CI/CD practices related to data workflows.
- Familiarity with data lake architectures and real-time data streaming.
- Strong problem-solving abilities and attention to detail.
- Excellent verbal and written communication skills.
- Ability to work independently and in a team-oriented environment.

Good to Have:

- Experience with orchestration tools like Airflow or Step Functions.
- Exposure to BI/Visualization tools like QuickSight, Tableau, or Power BI.
- Understanding of data governance and compliance standards.

? Why Join Quest Global?

At Quest Global, we believe our people are the driving force behind innovation and transformation. We are committed to building a future-ready workforce by empowering employees with global opportunities, advanced learning ecosystems, and exposure to cutting-edge technologies.

As part of our engineering and digital transformation journey, employees get the chance to work on AI-driven initiatives and large-scale global programs across multiple industries.

? Employee Benefits & Growth Opportunities

- Medical Coverage for Self, Spouse & Children – Comprehensive healthcare support designed to ensure employee and family well-being.
- Daily Food Benefits) – Employee-friendly workplace facilities with meal support to enhance comfort and productivity.
- Global / Onsite Opportunities – Exposure to international projects, global clients, and onsite opportunities across Quest Global delivery locations.
- AI Upskilling & Certification Support – Investment in advanced AI learning programs, certifications, and technical upskilling initiatives.
- Access to Premium AI Tools & Platforms – Employees gain hands-on exposure to paid AI tools, modern engineering ecosystems, and innovation platforms to accelerate technical excellence.
- Career Growth & Internal Mobility – Opportunities to work across diverse technologies, domains, and global business units

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