Data Engineer

Job Duties:

Data Management and Integration: Data Engineers are responsible for developing and maintaining data pipelines that ensure the efficient flow of data from various sources into a centralized data repository. This includes tasks such as data extraction, transformation, and loading (ETL) processes

Data Quality and Governance: Ensuring data quality and implementing data governance practices are crucial. Data Engineers work on data validation, cleansing, and enrichment to maintain high data quality standards. They also establish data governance frameworks to ensure data integrity and compliance

Performance Optimization: Data Engineers optimize the performance of data systems by designing and implementing efficient data storage solutions. This includes working with databases, data warehouses, and data lakes to ensure fast and reliable data access

Collaboration and Communication: Data Engineers collaborate with various stakeholders, including data scientists, analysts, and business teams, to understand their data needs and provide the necessary support. Effective communication skills are essential for translating technical requirements into actionable data solutions

Technical Skills: Proficiency in programming languages such as Python, SQL, and tools like Databricks, Azure, and pyspark is often required. Data Engineers also need to be familiar with data modeling, data warehousing, and big data technologies