Data Engineer
1 week ago
Organization: National e-Governance Division (NeGD), Ministry of Electronics and Information Technology, Government of India
Location: New Delhi, India
Job Summary:
The National e-Governance Division (NeGD) is seeking a highly skilled and motivated Data Engineer to join our technical team. The ideal candidate will be responsible for building and maintaining the data infrastructure required for optimal extraction, transformation, and loading of data from various sources to support e-governance initiatives under the Digital India program. This role is crucial in ensuring the reliability, scalability, and efficiency of data systems that enable data-driven decision-making and enhance public service delivery.
Key Responsibilities:
Data Pipeline Development:
- Design, develop, and maintain scalable data pipelines and ETL processes to handle large volumes of data.- Ensure the timely and accurate movement of data from various sources to data warehouses or data lakes.
Data Integration:
- Integrate data from a variety of sources, including databases, APIs, and third-party systems.- Collaborate with cross-functional teams to understand data requirements and ensure seamless data flow.
Data Warehousing:
- Develop and maintain data warehouse architectures to support business intelligence and analytics needs.- Optimize database schemas and queries for performance and scalability.
Data Quality and Governance:
- Implement data validation and cleansing processes to ensure data accuracy and consistency.- Enforce data governance policies and maintain documentation of data models and processes.
Performance Optimization:
- Monitor and improve the performance of data systems.- Troubleshoot and resolve issues related to data pipelines and infrastructure.
Collaboration and Communication:
- Work closely with data scientists, analysts, and other stakeholders to support their data needs.- Provide technical guidance and support to team members on data engineering best practices.
Security and Compliance:
- Ensure data systems comply with government regulations and data protection laws.- Implement security measures to protect data integrity and privacy.
Qualifications and Experience:
Education:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.- A Master's degree or specialization in Data Engineering or related disciplines is an added advantage.
Experience:
- Minimum of 5-7 years of experience in data engineering or related roles.- Proven experience in building and maintaining large-scale data pipelines and data architectures.- Experience with big data technologies and cloud platforms is highly desirable.
Certifications:
- Relevant certifications in data engineering, cloud technologies, or big data platforms are advantageous.
Skills and Competencies:
Technical Proficiency:
- Strong programming skills in languages such as Python, Java, or Scala.- Proficiency with data processing frameworks like Apache Spark, Hadoop, or Flink.- Experience with ETL tools and workflow schedulers like Apache Airflow or NiFi.- Knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
Data Modeling and Warehousing:
- Strong understanding of data modeling concepts and data warehouse design.- Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
Problem-Solving Skills:
- Excellent analytical and troubleshooting abilities.- Ability to handle complex data-related challenges and provide effective solutions.
Communication and Collaboration:
- Strong communication skills to work effectively with cross-functional teams.- Ability to explain technical concepts to non-technical stakeholders.
Organizational Skills:
- Ability to manage multiple tasks and projects simultaneously.- Strong attention to detail and commitment to delivering high-quality work.
Understanding of E-Governance:
- Familiarity with the Digital India initiative and e-governance frameworks.- Understanding of government data policies, standards, and regulatory requirements.
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