Data Engineer

Key ResponsibilitiesDesign, develop, and maintain robust ETL/ELT pipelines to ingest data from multiple sources (databases, APIs, flat files, streaming sources).Build and optimize data warehouses and data lakes to support business intelligence and analytics use cases.Ensure data quality, integrity, accuracy, and availability through validation, monitoring, and alerting mechanisms.Collaborate closely with Data Analysts, Data Scientists, and Business Stakeholders to understand data requirements and deliver scalable solutions.Optimize data processing performance, including query tuning and pipeline efficiency.Implement and maintain data security, access controls, and governance standards.Automate workflows and data operations to improve reliability and reduce manual intervention.Troubleshoot and resolve data pipeline, performance, and production issues.Document data models, pipeline architecture, and operational processes.Support data migration, integration, and modernization initiatives.Required Skills & QualificationsTechnical SkillsStrong experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).Hands-on experience with Python (preferred) or Scala/Java for data engineering tasks.Proven expertise in building ETL pipelines using tools such as Apache Airflow, Talend, Informatica, or similar.Experience with Big Data technologies (e.g., Hadoop, Spark).Solid understanding of data warehousing concepts, dimensional modeling, and schema design.Experience working with cloud platforms (AWS, Azure, or GCP), including cloud-native data services.Familiarity with REST APIs, data ingestion, and integration patterns.Knowledge of version control systems (Git) and CI/CD practices.Soft SkillsStrong analytical and problem-solving abilities.Excellent communication and stakeholder coordination skills.Ability to work independently and within cross-functional teams.Detail-oriented with a strong focus on data accuracy and reliability.Preferred / Good-to-Have SkillsExperience with streaming platforms (Kafka, Kinesis, Pub/Sub).Exposure to BI tools (Power BI, Tableau, Looker).Knowledge of data governance, metadata management, and data cataloging tools.Experience supporting machine learning or advanced analytics pipelines.EducationBachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.Relevant certifications in cloud platforms or data engineering are a plus.da