Data Engineer

As a Data Engineer at LUMIQ in Noida, you will play a crucial role in designing, developing, and maintaining scalable ETL/ELT data pipelines. Your responsibilities will include building and optimizing data architectures for analytics and reporting, collaborating with various teams to understand data requirements, and ensuring data quality, integrity, and security across systems. Additionally, you will be monitoring and troubleshooting production data pipelines, optimizing database performance, and collaborating in agile development environments. Implementing best practices for data engineering, governance, and documentation will also be a part of your role. Key Responsibilities: - Design, develop, and maintain scalable ETL/ELT data pipelines. - Build and optimize data architectures for analytics and reporting. - Work closely with data analysts, business teams, and developers to understand data requirements. - Develop and maintain data integration workflows using modern tools and frameworks. - Ensure data quality, integrity, and security across systems. - Monitor and troubleshoot production data pipelines. - Optimize database performance and query execution. - Collaborate with cross-functional teams in agile development environments. - Implement best practices for data engineering, governance, and documentation. Qualifications Required: - Strong experience in SQL and Python. - Hands-on experience with ETL/ELT tools and data pipeline development. - Experience with cloud platforms such as AWS, Azure, or GCP. - Valuable understanding of data warehousing concepts. - Experience with big data technologies like Spark, Hadoop, or Databricks. - Knowledge of workflow orchestration tools such as Airflow. - Familiarity with REST APIs and data integration techniques. - Understanding of CI/CD and version control tools like Git. Join LUMIQ, a leading data analytics and AI-driven solutions company, and be part of the team that unlocks the power of data through modern cloud, analytics, and engineering solutions. Apply your expertise in data engineering to drive scalable and business-focused digital transformation solutions. As a Data Engineer at LUMIQ in Noida, you will play a crucial role in designing, developing, and maintaining scalable ETL/ELT data pipelines. Your responsibilities will include building and optimizing data architectures for analytics and reporting, collaborating with various teams to understand data requirements, and ensuring data quality, integrity, and security across systems. Additionally, you will be monitoring and troubleshooting production data pipelines, optimizing database performance, and collaborating in agile development environments. Implementing best practices for data engineering, governance, and documentation will also be a part of your role. Key Responsibilities: - Design, develop, and maintain scalable ETL/ELT data pipelines. - Build and optimize data architectures for analytics and reporting. - Work closely with data analysts, business teams, and developers to understand data requirements. - Develop and maintain data integration workflows using modern tools and frameworks. - Ensure data quality, integrity, and security across systems. - Monitor and troubleshoot production data pipelines. - Optimize database performance and query execution. - Collaborate with cross-functional teams in agile development environments. - Implement best practices for data engineering, governance, and documentation. Qualifications Required: - Strong experience in SQL and Python. - Hands-on experience with ETL/ELT tools and data pipeline development. - Experience with cloud platforms such as AWS, Azure, or GCP. - Valuable understanding of data warehousing concepts. - Experience with big data technologies like Spark, Hadoop, or Databricks. - Knowledge of workflow orchestration tools such as Airflow. - Familiarity with REST APIs and data integration techniques. - Understanding of CI/CD and version control tools like Git. Join LUMIQ, a leading data analytics and AI-driven solutions company, and be part of the team that unlocks the power of data through modern cloud, analytics, and engineering solutions. Apply your expertise in data engineering to drive scalable and business-focused digital transformation solutions.