Experience: 3–4 Years

Employment Type: Full time

Location: Sector 59, Noida

Work Mode: Work from Office (5 days)

Must be willing to work onsite at client locations when required

Notice Period: Immediate to 15 days preferred

Education: Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

- Graduation Year: 2022 or earlier (Mandatory).

Company Description:

iLytix Services Pvt. Ltd. is a rapidly growing IT consulting and product engineering company delivering enterprise-grade software solutions across AI, Cloud, Data

Engineering, Enterprise Applications, and Digital Transformation.

We specialize in:

● Artificial Intelligence & Generative AI Solutions

● Custom Software Development

● Enterprise Product Engineering

● Cloud & DevOps

● Mobile & Web Application Development

● Staff Augmentation & Dedicated Engineering Teams

Our mission is to help global enterprises accelerate innovation through cutting-edge technologies and highly skilled engineering teams.

About the Role

We are looking for a Data Engineer with 3–4 years of experience to join our engineering team. The ideal candidate will have strong experience in data pipelines, ETL/ELT, SQL, Python, databases, and cloud-based data platforms.

You will be responsible for designing, developing, and maintaining reliable data pipelines and infrastructure that enable analytics, reporting, and data-driven applications.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Extract, transform, and load data from multiple structured and unstructured sources.
- Develop efficient and optimized SQL queries, stored procedures, and data transformations.
- Build data pipelines using Python and relevant data engineering frameworks.
- Work with relational and NoSQL databases to store and process large datasets.




- Develop and maintain data warehouses, data lakes, and data models.
- Perform data validation, quality checks, and automated testing to ensure data accuracy and reliability
- Optimize data pipelines for performance, scalability, reliability and cost.
- Integrate data from APIs, databases, files, and other external sources
- Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
- Monitor pipeline performance and resolve data-related issues.
- Implement appropriate logging, error handling, and documentation.
- Follow best practices for data security, governance, and access control.

Required Skills

- 3–4 years of professional experience in Data Engineering.
- Strong proficiency in SQL.
- Good hands-on experience with Python.
- Strong understanding of ETL/ELT concepts and data pipeline architecture.
- Experience working with databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Experience with data warehousing concepts, including fact tables, dimension tables, star/snowflake schemas.
- Familiarity with data modeling and database optimization.
- Basic experience with workflow orchestration (Airflow or similar)
- Experience with Git/version control.
- Good understanding of data quality, validation, and troubleshooting.
- Strong analytical and problem-solving skills.

Strongly Preferred

- Experience with cloud platforms such as AWS, Azure, or GCP.
- Hands-on experience with Apache Spark / PySpark.
- Understanding of data lake/lakehouse architecture.
- Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
- Experience with Databricks.
- Knowledge of orchestration tools such as Apache Airflow.
- Knowledge of Kafka or other streaming technologies.
- Familiarity with Docker and CI/CD pipelines.
- Exposure to dbt or similar data transformation tools.
- Familiarity with data quality/testing frameworks (dbt tests or similar)

📌 Data Engineer (Noida)
🏢 Ilytix Services
📍 Noida