
Data Architect
1 week ago
Role Overview:
This is a contract remote position for a highly motivated individual to lead the design and implementation of large-scale data processing solutions.
The ideal candidate will have hands-on expertise in PySpark, Python, SQL, and real-time data streaming, with experience working with cloud environments such as Azure.
Location: India. Remote.
Key Responsibilities:
- Design, develop, and optimize data pipelines using PySpark, Spark, and Python.
- Implement ETL/ELT solutions to integrate structured and unstructured data from multiple sources.
- Develop and maintain Hive queries and ensure seamless data transformations.
- Write and optimize SQL queries for large datasets.
- Build, monitor, and support real-time streaming solutions using Apollo Kafka.
- Work on Databricks to create, manage, and optimize data workflows.
- Deploy and manage solutions in Azure cloud services (e.g., Data Lake, Synapse, Azure Databricks).
Required Skills & Qualifications:- 3–4 years of experience in data engineering with a focus on PySpark and Python.
- Strong knowledge of Spark, Hive, SQL, and Unix shell scripting.
- Experience with Databricks in a production environment.
- Hands-on experience with Azure cloud services (preferred: Data Lake, Synapse, Databricks).
Nice-to-Have Skills:- Exposure to CI/CD pipelines for data solutions.
- Knowledge of data governance and security best practices.
- Experience with Agile/Scrum methodology.
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