Urgent Requirement For Data Engineer

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.Location: IndoreExperience: 3-5 YearsKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.Build, optimize, and maintain data warehouses, data lakes, and relational databases.Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.Optimize database performance and manage large-scale datasets for efficient processing.Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.Implement data governance, security, and compliance standards.Troubleshoot and resolve data pipeline, database, and ETL-related issues.Stay updated with the latest trends and technologies in data engineering.Required SkillsProgramming & DatabaseStrong proficiency in Python (Pandas, NumPy)Excellent SQL skillsExperience with relational databases such as SQL Server, PostgreSQL, or MySQLData EngineeringStrong understanding of ETL/ELT conceptsHands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL toolsExperience in designing scalable data pipelinesData ModelingEntity-Relationship (ER) DiagramsDimensional ModelingData NormalizationCloud & Big DataExperience with AWS, Azure, or GCPFamiliarity with Apache Spark, Hadoop, and KafkaKnowledge of Apache Airflow for workflow orchestrationGood to HaveExperience with Git and CI/CD pipelinesKnowledge of Docker or KubernetesExposure to Power BI, Tableau, or other BI toolsUnderstanding of data governance and security best practicesQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.3-5 years of experience in Data Engineering or a similar role.How to ApplyInterested candidates can send their updated CV to or contact for more information.Experience2 YearsNo. of Openings10EducationGraduate (B.Tech/B.E)RoleData EngineerIndustry TypeIT-Hardware & NetworkingGender[ Male / Female ]Job CountryIndiaType of JobFull TimeWork Location TypeWork from OfficeFace Interview LocationPlot No. 419, Vardhaman House, 1st Floor, floor, 1, near Niranjanpur Circle, Dewas Naka, Scheme No 114, Indore, Madhya Pradesh 452010