Data Architect
3 weeks ago
We are seeking a highly skilled and experienced Technical Lead to join our team at Praxis Consultants. The successful candidate will play a crucial role in designing data architecture and models based on business requirements, ensuring data integrity, security, and performance.
Key Responsibilities:Data Architecture and Design:Design and implement robust and scalable data pipelines and ETL processes.
Develop and maintain data models and schemas that support business needs and analytics.
Data Integration:Integrate data from various sources, including relational databases, data lakes, APIs, and third-party services.
Ensure data consistency, accuracy, and reliability across all integrated systems.
Data Pipeline Development:Build and optimize data pipelines for data ingestion, transformation, and storage.
Implement data quality checks and validation processes to ensure data integrity.
Performance Optimization:Monitor and optimize the performance of data pipelines and databases.
Troubleshoot and resolve performance issues and data-related problems.
Reporting:Document data architecture, data pipelines, and processes.
Provide regular reports and updates on project status and data infrastructure health.
Continuous Improvement:Stay current with industry trends, emerging technologies, and best practices in data engineering.
Propose and implement improvements to enhance data engineering practices and tools.
Qualifications:
Bachelor's degree in computer science or a related field.
5-8 years of experience as a Data Engineer or in a similar role, with a strong focus on data architecture and pipeline development.
Proficiency in programming languages such as Python, Java, or Scala, SQL, Spark.
Extensive experience with Cloudera & Big Data Technologies.
Familiarity with data processing frameworks and tools (e.g., Apache Spark, Apache Kafka, Hadoop).
Knowledge of data warehousing solutions.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent communication skills and the ability to present complex technical information to non-technical stakeholders.
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