Data Engineer

About the job

🚀 Hiring : Data Engineer (2–3 Years Experience) – Remote (India) About the Role Hirebrick is seeking a Data Engineer with 2–3 years of experience to help design, build, and maintain scalable, cloud-based data pipelines and analytics platforms. This fully remote role (India) is ideal for engineers who enjoy working with modern data technologies and want to grow their careers in production-grade environments. Key Responsibilities • Develop and maintain batch and near real-time ETL pipelines using Python, SQL, PySpark, and Airflow • Build and support data ingestion from APIs, databases, and streaming sources • Assist in developing and maintaining data warehouses and Lakehouse architectures on AWS, Azure, or Snowflake • Collaborate with analytics and data science teams to deliver clean, reliable datasets • Implement data quality checks, validation rules, and monitoring alerts • Optimize Spark jobs for performance and stability under guidance from senior engineers • Follow best practices for version control, CI / CD, and technical documentation Required Qualifications • 2–3 years of hands-on experience in data engineering or a related role • Strong working knowledge of Python and SQL • Experience with AWS or Azure cloud platforms • Familiarity with Spark, Airflow, Glue, or similar ETL tools • Understanding of data warehousing and ETL fundamentals • Experience with relational and / or NoSQL databases Nice to Have • Exposure to Kafka or streaming data pipelines • Experience with Snowflake, Redshift, or Synapse • Basic knowledge of CI / CD pipelines, Terraform, or Docker • Interest in analytics, ML, or AI-driven data pipelines Why Join Hirebrick • 100% remote role (India-based) • Opportunity to work on modern cloud and data platforms • Strong learning and career growth opportunities • Transparent and supportive recruiting experience How to Apply Apply directly on or reach out to : Mirtyunjay Kumar Engineering Manager Mirtyunjay@hirebrick.io 9870131450

Requirements

• Python
• SQL
• PySpark
• Airflow
• AWS
• Azure

Qualifications

• 2–3 years of experience in data engineering
• Strong working knowledge of Python and SQL
• Experience with AWS or Azure

Preferred Technologies

• Python
• SQL
• PySpark
• Airflow
• AWS
• Azure

About the company

Hirebrick is dedicated to helping organizations build strong teams by connecting them with top-tier talent. Through tailored staffing and recruiting solutions, we address the specific needs of each client with a focus on quality and exceptional service. Backed by a skilled team of recruiters and an extensive network of professionals, we are equipped to support businesses of all sizes.