Data Engineer
We are looking for a Data Engineer with 3–4 years of experience to join our engineering team. You will have strong experience in data pipelines, ETL/ELT, SQL, Python, databases and cloud-based data platforms, and you will design, develop and maintain the reliable pipelines and infrastructure that enable analytics, reporting and data-driven applications.
- Design, develop and maintain scalable ETL/ELT data pipelines
- Extract, transform and load data from multiple structured and unstructured sources
- Develop efficient, optimised 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 for accuracy and reliability
- Optimise 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
- 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 with databases such as PostgreSQL, MySQL, SQL Server or Oracle
- Data warehousing concepts: fact and dimension tables, star and snowflake schemas
- Familiarity with data modelling and database optimisation
- Basic experience with workflow orchestration (Airflow or similar)
- Experience with Git and version control
- Good understanding of data quality, validation and troubleshooting
- Strong analytical and problem-solving skills
- Experience with cloud platforms such as AWS, Azure or GCP
- Hands-on experience with Apache Spark / PySpark
- Understanding of data lake and 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 and testing frameworks (dbt tests or similar)
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science or a related field
- Graduation year 2021 or earlier (mandatory)
careers@ilytixservices.com- Subject line
Application – Data Engineer – Noida
Please note: Only applications sent to this address with the exact subject line above will be considered. Attach your CV as a PDF and include your notice period and current location in the email.
Open in your email app- Work on real-world AI and Generative AI projects for global clients
- Exposure to LLMs, AI agents, RAG and MLOps, and the tools around them
- Continuous learning and certification support
- Career growth in AI, cloud and product engineering
- A collaborative, inclusive, learning-focused culture that values ownership
- Flexible shift timings with a focus on a healthy work–life balance
- Employee-friendly policies and room for professional development
Tell us what you have built.
If this position is not the fit and you think you should be here, write to careers@ilytixservices.com with the subject line "Application – General – Noida" and what you have built.
Discuss a RoleOr email sales@ilytixservices.com