DWH-Tech Lead
Date Posted: 24-Sep-2024 | Qualification: Graduation/BE/B.Tech
| Position: | DWH-Tech Lead |
| Skills Required: | DWH,ETL,SQL,Data Engineering, python,AWS,data modelling |
| Employment Type: | Full Time |
| Location: | India |
| Job Mode: | Work from Home |
| Experience: | 7 - 12 (years) |
Job Description:
Responsibilities:
• Data Management and Maintenance: Ensure data accuracy, completeness, and consistency in
databases and other storage (S3) systems. This includes data cleaning, backup, recovery, and
performance optimization.
• Technical Support and Troubleshooting: Data Support Engineers provide technical support to
customers or internal teams. They troubleshoot data-related issues, identify root causes, and
implement solutions to resolve problems. This often includes working with databases, data
processing systems, and data analytics tools.
• System Integration and Development: Integrating new systems and technologies into the
existing data infrastructure. This could involve working closely with other IT professionals to
ensure compatibility and efficiency.
• Data Analysis and Reporting: Assisting in data analysis and preparing reports. This might require
proficiency in specific data analytics and reporting tools and software.
• Collaboration with Cross-Functional Teams: Data Support Engineers often work closely with
other departments, such as development, operations, and data science teams, to support data-
related aspects of projects. They assist in integrating new technologies and systems that involve
data processing and management.
• Compliance and Security: Ensuring data handling and storage comply with legal and regulatory
requirements. This includes managing permissions, monitoring data (IAM) access, and
safeguarding against data breaches.
• Continuous Learning and Improvement: Keeping up to date with the latest technologies and
best data management and support practices. This often involves continuous learning and
possibly certification in relevant areas.
• Problem Solving: Identifying and resolving data-related problems, ranging from minor glitches
to significant system-wide issues requiring in-depth technical knowledge.
• Documentation and Reporting: Creating and maintaining documentation related to data
systems, processes, and solutions is an important part of their role. They may also be involved in
creating reports on data issues and resolutions. Data Analysis Tools: Familiarity with data
analysis tools and software, such as Excel, Tableau, or more advanced tools like R or Python for
data manipulation and analysis. (Nice to have)
• Programming Languages: Proficient in scripting languages like Python, Node JS, JavaScript
• Networking and System Administration: Basic understanding of networking concepts and
system administration, as data support often involves working with networked data systems.
Data Nodes, cloud scales (h-Scale and V-Scales)
• Data Security: Knowledge of data security principles and practices to ensure the integrity and
confidentiality of data. Data Security, Data Encryption (Data In-Transit and Data in Rest)
• Data visualization/Report Tools: Power BI/Tableau/ Looker will be an added advantage.
