Senior Business Intelligence Developer

2 days ago

belgaum, India beBeeDataEngineer Full time

Job DescriptionWe are seeking a highly skilled Senior 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 using Azure Data Platform, Databricks, Snowflake, and Kafka.You will be responsible for designing, developing, and maintaining robust data acquisition frameworks that support large-scale analytics and operational data systems.Data is the lifeblood of any organization, and we need someone who can help us harness its power to drive business decisions.Design, develop, and maintain data ingestion and transformation pipelines in an Azure-based environment.Work with Kafka for real-time data streaming and message queuing.Build scalable ETL/ELT pipelines using Databricks (PySpark/Scala) and integrate with Snowflake for analytics workloads.Develop and optimize SQL queries and stored procedures for performance and data accuracy.Utilize Azure Data Factory (ADF) to orchestrate workflows and integrate with various data sources.Work with structured and semi-structured data formats such as XML, 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.Required Skills and QualificationsTo be successful in this role, you should possess the following skills and qualifications: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.BenefitsThis role offers a range of benefits, including:Opportunity to work on high-profile projects with a talented team of engineers.Professional development opportunities through training and mentorship programs.Flexible working arrangements, including remote work options.Key ResponsibilitiesYour key responsibilities will include:End-to-end development of data acquisition solutions for operational and analytical systems.Implement data transformation logic using 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.

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