MongoDB
Python
Flask
DjangoEmployment type- Contract basis
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark and distributed computing frameworks.
- Implement ETL processes and integrate data from structured and unstructured sources into cloud data warehouses.
- Work across Azure or AWS cloud ecosystems to deploy and manage big data workflows.
- Optimize performance of SQL queries and develop stored procedures for data transformation and analytics.
- Collaborate with Data Scientists, Analysts, and Business teams to ensure reliable data availability and quality.
- Maintain documentation and implement best practices for data architecture, governance, and security.
⚙️ Required Skills
- Programming: Proficient in PySpark, Python, and SQL, MongoDB
- Cloud Platforms: Hands-on experience with Azure Data Factory, Databricks, or AWS Glue/Redshift.
- Data Engineering Tools: Familiarity with Apache Spark, Kafka, Airflow, or similar tools.
- Data Warehousing: Strong knowledge of designing and working with data warehouses like Snowflake, BigQuery, Synapse, or Redshift.
- Data Modeling: Experience in dimensional modeling, star/snowflake schema, and data lake architecture.
- CI/CD & Version Control: Exposure to Git, Terraform, or other DevOps tools is a plus.
🧰 Preferred Qualifications
- Bachelor's or Master's in Computer Science, Engineering, or related field.
- Certifications in Azure/AWS are highly desirable.
- Knowledge of business intelligence tools (Power BI, Tableau) is a bonus.
Shubham Vishwakarma
Full Stack Developer - Averlon
About QAgile Services
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At Qagile Services, we are dedicated to empowering businesses through cutting-edge IT solutions and unparalleled staffing services. Our mission is to bridge the gap between technology and talent, ensuring that your organization has the resources it needs to thrive in a rapidly evolving digital landscape.
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Full Stack Developer - Averlon