Data Analyst

Job Summary: We are seeking a skilled Data Analysis and ETL Developer to design, develop, and maintain ETL processes, data pipelines, and data warehousing solutions. The ideal candidate will have strong expertise in Python, SQL, and data warehousing technologies to ensure efficient data extraction, transformation, and loading for analytical and reporting needs. Key Responsibilities:

• Design, develop, and maintain ETL processes using Python and SQL.
• Extract, transform, and load (ETL) data from multiple sources into a data warehouse .
• Optimize and enhance existing data pipelines for performance and scalability.
• Develop data models and ensure data integrity, consistency, and security.
• Write complex SQL queries to extract meaningful insights from large datasets.
• Work closely with data analysts, engineers, and business stakeholders to define data requirements.
• Perform data profiling, cleansing, and validation to maintain high-quality datasets.
• Automate data workflows and ensure efficient data ingestion and processing.
• Troubleshoot and resolve ETL failures, performance issues, and data inconsistencies .
• Develop and maintain documentation for data workflows, ETL processes, and data models.

• Strong proficiency in Python for ETL development and data manipulation (e.g., Pandas, PySpark).
• Expertise in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Experience with data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery).
• Knowledge of ETL tools (e.g., Apache Airflow, Talend, Informatica, SSIS).
• Hands-on experience in data pipeline orchestration and workflow automation.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Experience with data visualization and reporting tools is a plus (Power BI, Tableau).
• Strong problem-solving and analytical skills with attention to detail.
• Ability to work independently and in a collaborative team environment.

• Minimum of Two Years experience in data analysis, ETL development, or data engineering.
• Proven track record of managing and optimizing data pipelines in a production environment.