Data Engineer - ETL/Data Warehousing (3-8 yrs)

Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources

- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions

- Optimize and tune database queries and processes for performance and efficiency

- Implement data quality checks and validation procedures to ensure the integrity and accuracy of data

- Build and maintain data warehouses and data marts to support reporting and analytics needs

- Work closely with data scientists and analysts to provide access to structured and unstructured data for analysis and modeling

- Continuously evaluate and adopt new technologies and tools to enhance data processing capabilities and improve efficiency

- Document technical designs, processes, and procedures for data engineering projects

- Troubleshoot and resolve issues related to data pipelines, databases, and data infrastructure

- Stay up-to-date with industry trends and best practices in data engineering and related technologies

Requirements :

- Bachelor's degree in Computer Science, Engineering, or a related field

- 0-5 years of experience in data engineering or a similar role

- Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL)

- Strong programming skills in at least one scripting language (e.g., Python, Java, Scala)

- Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery)

- Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)

- Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform)

- Understanding of data modeling principles and techniques

- Excellent problem-solving and analytical skills

- Strong communication and collaboration skills, with the ability to work effectively in a team environment