Data Engineer - SQL/Python (4-7 yrs)

Job Title : Data Engineer

Experience : 3 to 7 Years

Location : Bangalore, Chennai, Pune

We are seeking a skilled Data Engineer with expertise in Python, Snowflake, SQL, and AWS to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and maintaining data engineering processes and cloud-based applications. You will collaborate with cross-functional teams to ensure data integrity, scalability, and performance, contributing to our organization's data-driven decision-making.

Key Responsibilities :

- Design, develop, and maintain data pipelines and ETL processes.

- Build and optimize data models for Snowflake, ensuring efficient data storage and retrieval.

- Develop scalable Python applications and services for data processing and analysis.

- Perform data analysis and validations during data and process migrations.

- Ensure data quality, consistency, and accuracy across all datasets.

- Troubleshoot and debug complex data issues and application errors.

- Collaborate with support teams to resolve technical challenges.

- Deploy applications to cloud environments, primarily on AWS.

- Integrate with DevOps tools and practices to ensure smooth CI/CD pipelines.

- Work closely with cross-functional teams, including Data Analysts, DevOps Engineers, and Product Managers.

- Communicate effectively with stakeholders to understand data requirements and deliver solutions.

Required Qualifications :

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

- 6+ years of experience in Software Engineering.

- Strong proficiency in SQL (Minimum 2+ years of recent experience).

- At least 2+ years of recent experience in Python development.

- Hands-on experience with relational databases such as Snowflake, MySQL, or PostgreSQL.

- Proven experience in designing and developing software applications for cloud platforms like AWS.

- Proficiency in Python frameworks such as Pandas, NumPy, and Pyramid.

- Solid understanding of fundamental computer science principles, including data structures and algorithms.

- Excellent communication skills and the ability to collaborate in a team environment.

- Ability to work efficiently under pressure and meet tight deadlines.

- Experience with data warehousing and big data solutions.

- Knowledge of DevOps practices and CI/CD pipelines.

- Familiarity with Agile methodologies and working in cross-functional teams.