POSTING DATE
2023-08-30 07:51:43
2023-08-30 07:51:43
START DATE
2023-08-30
2023-08-30
EXPERIENCE
Senior (5-7 Yrs)
Senior (5-7 Yrs)
PREFERRED EMPLOYMENT
W2 - Permanent
W2 - Permanent
COUNTRY
India
India
RELOCATION PROVIDED
No
No
REMOTE WORK?
No
No
Job details »
- Data Architecture and Strategy: Lead the development and implementation of data architecture and strategy to support data-driven decision-making and analytics.
- Data Pipeline Design: Design and build complex, scalable data pipelines to ingest, transform, and integrate data from diverse sources.
- Data Quality and Governance: Establish, collect requirements for and enforce data quality standards and governance processes to ensure data accuracy, consistency, and compliance. This includes data versioning standards and applying producer / consumer pattern.
- Big Data Technologies: Work with big data technologies such as Hadoop, Spark, and Kafka to process and analyze large datasets efficiently.
- Data Cleaning and Analysis skills: exploratory data analysis, ML labeling, dataset management.
- Data Transformation and ETL: Develop and maintain ETL (Extract, Transform, Load) processes to convert raw data into usable formats.
- Real-time Data Processing: Implement real-time data processing solutions to enable timely insights and decision-making.
- Data Security: Implement and maintain data security measures to protect sensitive data and comply with data privacy regulations.
- Performance Optimization: Optimize data infrastructure for performance, scalability, and cost-efficiency.
- Documentation and Knowledge Sharing: Create and maintain clear documentation of data processes and best practices. Mentor and guide junior team members.
- Collaboration: Collaborate with cross-functional teams to understand data requirements and provide data solutions that align with business needs.
- Stay Current: Stay up-to-date with emerging trends and technologies in data engineering and contribute to the adoption of best practices.
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