Data Engineer

Fossgen Technologies

Pune District, Gurugram District, Bengaluru

On-site

INR 1,500,000 - 3,200,000

Part time

6 days ago

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Job summary

Fossgen Technologies seeks experienced Data Engineers to design, build, and maintain scalable data platforms and pipelines supporting enterprise applications and analytics.

The ideal candidate should have strong experience in data engineering, ETL/ELT, cloud technologies, databases, and distributed data processing, with ability to work with global and US-based teams

Qualifications

4 to 14 years of IT experience with data engineering.
Strong hands-on experience with Python and SQL.
Experience with ETL/ELT and data pipeline development.
Knowledge of databases (Oracle, PostgreSQL, MySQL, SQL Server) and data warehousing.

Responsibilities

Design, build, and maintain scalable data pipelines.
Ingest, transform, and integrate data from multiple sources.
Develop data models, warehouses, and data lakes.
Ensure data quality, reliability, and availability.
Collaborate with Data Scientists, Analysts, Architects, Developers, QA, and stakeholders.
Troubleshoot pipeline issues and perform root-cause analysis.
Work with US-based teams during US business hours.

Skills

Python

SQL

ETL/ELT

Data modeling

Data quality

Agile/Scrum

Communication

Problem solving

Tools

Databases (Oracle, PostgreSQL, MySQL, SQL Server)

Cloud platforms (AWS/Azure/GCP)

Spark / PySpark

Airflow

Kafka / Event Streaming

Kubernetes & Docker

Job description

Experience: 4 to 14 Years
Locations: Gurgaon | Bangalore | Chennai | Pune
Work Mode: On-site
Shift: US Shift / US Business Hours
Employment Type: Contractual
Salary: As per industry standards

Job Description

We are looking for experienced Data Engineers to design, build, and maintain scalable data platforms and pipelines supporting enterprise applications and analytics.

The ideal candidate should have strong experience in data engineering, ETL/ELT, cloud technologies, databases, and distributed data processing, along with the ability to work with global and US-based teams.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build and optimize data ingestion, transformation, and integration processes.
Work with large and complex datasets to ensure data quality, reliability, and availability.
Develop data solutions using Python, SQL, and relevant data engineering technologies.
Design and maintain data models, data warehouses, and data lakes.
Optimize data pipelines and queries for performance and scalability.
Integrate data from multiple sources including APIs, databases, applications, and external systems.
Implement data quality, validation, monitoring, and governance processes.Collaborate with Data Scientists, Analysts, Architects, Developers, QA, and business stakeholders.
Troubleshoot data pipeline and production issues and perform root‑cause analysis.
Participate in technical design and architecture discussions.
Work closely with US‑based teams and stakeholders during US business hours.

Required Skills

4 to 14 years of overall IT experience, with relevant Data Engineering experience.
Strong hands‑on experience with Python and SQL.
Experience with ETL/ELT tools and data pipeline development.
Strong knowledge of relational databases such as Oracle, PostgreSQL, MySQL, or SQL Server.
Experience with data warehousing and data modeling concepts.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with distributed data processing technologies such as Spark / PySpark.
Strong understanding of data integration, transformation, and data quality.
Experience working in Agile/Scrum environments.
Strong analytical and problem‑solving skills.
Good communication and stakeholder‑management skills.