Data Engineer

📌 Roles and Responsibilities
📌 Design, develop, and maintain scalable data pipelines and ETL processes.
📌 Build and optimize data models and data lakes/warehouses to support analytics and reporting.
📌 Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver solutions.
📌 Integrate data from multiple sources (structured and unstructured) into centralized systems.
📌 Ensure data integrity, quality, and security across platforms.
📌 Automate data workflows and monitor system performance.
📌 Document data flows, architecture, and technical processes.
📌 Troubleshoot data issues and provide technical support for data operations.
📌 Qualifications Required
📌 Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
📌 3+ years of experience in data engineering or related roles.
📌 Proficiency in SQL and programming languages like Python, Java, or Scala.
📌 Experience with big data tools and frameworks (e.g., Hadoop, Spark, Kafka).
📌 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
📌 Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
📌 Strong understanding of ETL/ELT processes and data pipeline orchestration tools (e.g., Airflow, DBT).
📌 Excellent problem-solving and communication skills.