Data Engineer

Overview

About the job:

As a Data Engineer, you will support data ingestion, transformation, ETL processes, and scalable data pipeline development across modern cloud and analytics environments. You will collaborate with business, analytics, and AI/ML teams to enable data-driven decision-making.

Key Responsibilities:

1. Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and processing.
2. Implement ETL/ELT workflows to ensure efficient movement and transformation of data across systems.
3. Work with structured and semi-structured data to support analytics and reporting needs.
4. Develop and optimize SQL queries for performance, accuracy, and scalability.
5. Build and maintain data warehouse models, including fact and dimension tables using star and snowflake schemas.
6. Collaborate with analytics, business, and AI/ML teams to support data requirements and solutions.
7. Work with cloud data platforms such as Snowflake, BigQuery, or Redshift as part of data operations.
8. Support automation and data processing tasks using Python and related tools.
9. Ensure data quality, consistency, and reliability across all pipelines and systems.
10. Document data workflows, processes, and system architecture for better collaboration and maintainability.

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience
2. are from Chennai only
3. are Computer Science Engineering students

Salary:

₹ 2,40,000 - 3,00,000 /year

Experience:

1 year(s)

Deadline:

2026-06-28 23:59:59

Skills required:

Data Warehousing, Big Data Analytics, Data Engineering and BigQuery

Other Requirements:

1. Skills Required:
2. 1. Strong understanding of SQL, joins, query optimization, and RDBMS concepts.
3. 2. Knowledge of ETL/ELT processes and data warehousing fundamentals.
4. 3. Understanding of fact tables, dimension tables, star schema, and snowflake schema.
5. 4. Basic to intermediate exposure to DBT is preferred.
6. 5. Exposure to cloud data warehouse platforms such as Snowflake, BigQuery, or Redshift is preferred.
7. 6. Basic knowledge of Python for data processing and automation.
8. 7. Exposure to tools such as Airflow, Databricks, PySpark, or similar is an added advantage.
9. 8. Good communication, documentation, and collaboration skills.
10. 9. Familiarity with AI/ML workflow support is a plus.
11. Education Requirements:
12. 1. BE/BTech/ME/MTech/MCA/MSc/BSc in Computer Science, IT, Data Science, Data Engineering.
13. Experience:
14. 1. 6 months to 2 years of experience, candidates are welcome.
15. 2. Freshers with strong SQL, ETL, and data warehouse training are encouraged to apply.
16. 3. Relevant cloud or data engineering certifications will be an added advantage.

About Company:

Datagraphene Solutions is a data analytics and consulting company that helps businesses improve revenue and operations using data, AI, and machine learning. We provide practical insights and strategies to support better decision-making and business growth.