Data Engineer -3 to 6 years - Ahmedabad

hiring for our IT Client

Location: Ahmedabad

Experience: 3–6 Years

Employment Type: Full Time

Role Overview:

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong experience in Python, SQL, cloud platforms, and modern data engineering practices to support analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable ETL / ELT pipelines

• Build and optimize data architectures and data models

• Develop reliable and efficient data workflows for structured and unstructured datasets

• Work with cloud platforms such as AWS, Azure, or GCP

• Develop and manage data warehouse solutions (Snowflake, BigQuery, Redshift, etc.)

• Collaborate with analytics, engineering, and business teams for data requirements

• Ensure data quality, integrity, and governance standards

• Optimize SQL queries and data processing performance

• Monitor pipeline reliability and troubleshoot production issues

• Work with orchestration and workflow tools like Airflow, dbt, or equivalent

Required Skills:

• Strong hands-on experience in Python and SQL

• Experience with ETL / ELT processes and data pipeline development

• Cloud experience (AWS / Azure / GCP)

• Knowledge of Snowflake / BigQuery / Redshift

• Experience with Airflow, dbt, or similar orchestration tools

• Strong understanding of data warehousing concepts

• Good communication and stakeholder management skills

• Strong analytical and problem-solving abilities

• Ability to work effectively within cross-functional teams

Good to Have:

• Experience in data modeling and performance optimization

• Exposure to streaming / real-time data processing

• Knowledge of data governance and data quality frameworks

• Experience working with large-scale distributed data systems

Preferred Candidate Profile:

• 3–6 years of relevant Data Engineering experience

• Bachelor’s / Master’s degree in Computer Science, IT, Engineering, or related field

BE in IT or equivalent