Senior Data Engineer

2 weeks ago

New Delhi, India InfoBeans Full time

About the Job We are seeking a highly skilledSenior Data Engineer – Data Acquisition (ODS)to join our data engineering team. The ideal candidate will have extensive hands-on experience in building and optimizing data ingestion and transformation pipelines usingAzure Data Platform ,Databricks ,Snowflake , andKafka . You will be responsible for designing, developing, and maintaining robust data acquisition frameworks that support large-scale analytics and operational data systems. Job Title Senior Data Engineer – Data Acquisition (ODS) Skills Kafka, Python, Spark, Databricks, SQL, Snowflake, Azure Data Factory (ADF), XML, JSON, Scala (Basic) Experience Required :5+ Years Location:Remote Notice Period:Immediate to 15 Days PreferredJob Description Design, develop, and maintaindata ingestion and transformation pipelinesin an Azure-based environment. Work withKafkafor real-time data streaming and message queuing. Build scalableETL/ELT pipelinesusingDatabricks (PySpark/Scala)and integrate withSnowflakefor analytics workloads. Develop and optimize SQL queries and stored procedures for performance and data accuracy. UtilizeAzure Data Factory (ADF)to orchestrate workflows and integrate with various data sources. Work with structured and semi-structured data formats such asXML, JSON, Parquet, and CSV . Collaborate with data architects, analysts, and business teams to deliver high-quality, reliable data pipelines. Ensure code quality, version control, and data security best practices are followed. Contribute to data architecture design discussions and provide technical recommendations for system improvements. Key Responsibilities End-to-end development ofdata acquisition solutionsfor operational and analytical systems. Implementdata transformation logicusing Spark and Python. Optimize performance of large-scale data pipelines in Databricks/Snowflake. Handle real-time and batch data ingestion via Kafka and ADF. Conduct data validation, profiling, and documentation of technical specifications. Qualification & Certification Bachelor’s degree in Computer Science, Information Technology, or related field. Microsoft Azure or Snowflake certification (preferred). Strong understanding of modern data engineering best practices. Good to Have Experience withDevOps toolsand CI/CD pipelines for data deployment. Exposure todata modelinganddata warehouse design . Familiarity with other streaming platforms or data orchestration tools.About InfoBeans InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services. At InfoBeans, we live by our core purpose of“Creating WOW”— for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces. https://infobeans.ai/

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