Data Analyst
1 week ago
Job Description :
- Data Engineering Analyst Data Acquisition Team. Experience: 3-5yrs. Location: Remote.
Responsibilities :
- Identify and evaluate potential data sources, both internal and external.
- Develop and implement data extraction, transformation, and loading (ETL) processes to acquire data from diverse sources (APIs, databases, flat files, etc.).
- Design and maintain data pipelines for efficient and reliable data ingestion.
- Automate data acquisition processes to improve efficiency and reduce manual effort.
- Perform data profiling and quality checks to ensure data accuracy, completeness, and consistency.
- Implement data validation rules and processes to identify and resolve data quality issues.
- Monitor data pipelines for errors and performance issues, and implement corrective actions.
- Document data quality metrics and reports.
- Transform raw data into usable formats for analysis and reporting.
- Develop and maintain data models to support business requirements.
- Implement data cleansing and standardization processes.
- Collaborate with data engineers to optimize data storage and retrieval.
- Maintain documentation of data sources, data pipelines, and data transformations.
- Monitor data source availability and performance.
- Work with data providers to resolve data issues and ensure data delivery.
- Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions.
- Communicate data acquisition status and issues to stakeholders. -
- Document technical specifications and procedures.
- Participate in team meetings and contribute to knowledge sharing.
Qualifications :
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 3-5 years of experience in data engineering, data analysis, or a related role.
- Strong understanding of data acquisition and ETL processes.
- Proficiency in SQL for data querying and manipulation.
- Experience with data integration tools and technologies (e.g., Apache Airflow, Talend, Informatica).
- Experience with scripting languages (e.g., Python, Bash) for data processing and automation.
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Strong analytical and problem-solving skills.
-Excellent communication and interpersonal skills.
- Understanding of data warehousing concepts.
- Experience with API consumption.
Technical Skills :
- SQL (required)
- ETL tools (Apache Airflow, Talend, Informatica)
- Scripting languages (Python, Bash)
- Data modeling
- Data quality management
- Cloud data platforms (AWS, Azure, GCP) (desired)
- API consumption.
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