Data Engineer
3 weeks ago
**Job Title:** Data Engineer - ETL Pipelines and Database Architect
At HR POD - Hiring Talent Globally, we are seeking an experienced Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining robust and scalable ETL (Extract, Transform, Load) pipelines for collecting, processing, and transforming large datasets.
**Responsibilities:**
- Develop and implement ETL processes and data pipelines using various tools and technologies.
- Design and architect database systems, including relational and NoSQL databases.
- Ensure data integrity, accuracy, and consistency across all database systems.
- Integrate data from various sources, including APIs, flat files, and streaming data.
- Maintain and optimize database performance, troubleshoot issues, and tune SQL queries for optimal efficiency.
- Develop and maintain data warehouse solutions to support analytics, reporting, and business intelligence needs.
- Implement data governance policies to manage data security, privacy, and compliance.
- Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver tailored solutions.
**Requirements:**
- Minimum 5-7 years of experience as a Data Engineer with DBA expertise.
- Hands-on experience in building and managing ETL processes and data pipelines.
- Familiarity with big data tools such as Hadoop, Spark, or Kafka.
- Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
- Strong knowledge of data visualization tools such as Power BI, Power Apps, or Tableau.
- Proficient in SQL, R, Python, and other data-processing languages.
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Lahore, Punjab, Pakistan HR POD - Hiring Talent Globally Full timeJob SummaryWe are seeking an experienced Database Architect and Data Pipeline Developer to join our team at HR POD - Hiring Talent Globally. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining robust and scalable ETL pipelines for collecting, processing, and transforming large datasets.About the...
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