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For Employers

Data Engineer

The Modern Data Company

3 years

5 - 8 Lacs

hyderābād

Posted:7 hours ago| Platform: GlassDoor logo

Apply

Skills Required

data software management ai stack power technology design analytics engineering integration programming python sql aws azure etl airflow orchestration relational postgresql mysql nosql redshift monitoring spark support logical reliability integrity testing

Work Mode

On-site

Job Type

Part Time

Job Description

Job Information

Date Opened

10/31/2025

Industry

Software Product

Job Type

Full time

City

Hyderabad

State/Province

Telangana

Country

India

Zip/Postal Code

500081

About Us

The Modern Data Company is redefining data management for the AI era, transforming data from a technical challenge into a company’s most powerful business asset. Modern's DataOS platform is the world's first operating system for data, providing a breakthrough layer that integrates with any data stack, no rip and replace.

Fortune 1000+ enterprises use DataOS to scale AI and solve mission-critical data challenges. With DataOS, enterprises are accelerating AI adoption by up to 90% while reducing data consumption and platform costs by 50%. Modern’s rapidly expanding customer base includes global category leaders across a wide range of global industries. They trust DataOS to power their AI and business transformation.

About the role:

At Modern, we are looking for a motivated Data Engineer to join our Client Technology Team. You will work closely with senior engineers and business teams to design, build, and maintain scalable data solutions that power analytics and business decisions across the organization.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field.

3+ years of experience in data engineering, data integration, or analytics.

Strong programming skills in Python, SQL, and experience with Spark.

Experience working with cloud-based data platforms (AWS, Azure, or GCP).

Understanding of data modeling, data warehousing, and ETL/ELT processes.

Familiarity with modern data tools like Airflow, DBT, or similar orchestration and transformation frameworks.

Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., Redshift, BigQuery) databases.

Nice to Have

Exposure to data streaming tools like Kafka.

Experience with data quality frameworks and monitoring tools.

Familiarity with DataOS® or similar enterprise data platforms.

Key Responsibilities

Collaborate with business and technical teams to understand data requirements and translate them into efficient data solutions.

Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.

Work with large-scale data platforms and distributed computing frameworks like Spark and DataOS®.

Support data modeling activities including the creation of conceptual, logical, and physical data models.

Optimize data workflows for performance, reliability, and cost efficiency.

Ensure data quality and integrity through validation, monitoring, and testing processes.

Collaborate with data architects and analysts to deliver data products aligned with business needs.

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Data Engineer