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Data Engineer - Data Pipeline


BRISKWIN IT SOLUTIONS PRIVATE LIMITED


Location

Pune | India


Job description

Job Description :Role : Azure Data EngineerLocation : PuneRole Description :In the Azure Data Engineer capacity, you will be member of our Business Intelligence development team. - You will help design, implement, and maintain data pipelines with complex data transformations. In addition, you will support our data architect & modeler, and BI Analysts on data initiatives to ensure an optimal solution architecture. - You will foster a positive working culture of continuous improvement and modernized delivery of data and AI solutions.- Create and maintain optimal and scalable data pipeline architecture.- Assemble large, complex data sets that meet functional / non-functional business requirements.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.- Drive design, model, implement, and operate large, structured, and unstructured datasets.- Evaluate and implement efficient distributed storage and query techniques.- Design and implement monitoring of data services platform.- Design and implement Data Lakes and Data Warehouse solutions.- Keeps track of industry best practices and trends and through acquired knowledge, takes advantage of process and system improvement opportunities.- Develop and maintain technical documentation and operational procedures.Qualifications :- Bachelor's degree in fields like Computer Science, Computer Engineering, Business Analytics, or a related field.- Certification: Azure certified data engineer'- Proven experience building, optimizing, and monitoring big data pipelines, architectures, and data sets.- Must have a production experience in building metadata driven ELT/ETL frameworks for data ingestion and processing.- Must have a production experience working with Data lakes, ETL/ELT, Data warehousing using- Azure ADLS Gen2, Databricks, Azure Data Factory, & Synapse Analytics- Working knowledge stream processing pipelines and highly scalable big data stores using Spark,- Azure Stream Analytics, Event Hubs, Azure Data Explorer etc.- Experience with relational SQL, NoSQL databases, and data lakes: Azure SQL Database, Azure Data Lake.- Experience with data management and data governance tools e.g., Azure Purview- Experience with programming languages and scripting: Python, Scala, Java, bash, Azure CLI, PowerShell etc.- Must have a strong understanding of CI/CD practices and technologies specifically Azure DevOps- Experience using SAP Hana and/or SAP BODS is a strong plus.- Must have substantial background in data extraction and transformation, developing data pipelines using MS SSIS and Azure Data Factory.- Strong understanding of business processes, requirements analysis, and collaboration with business system owners to design and build data products.- Previous experience working with different business systems including ERP, HRMS, Supply Chain or financial solutions is required.Required Experience :Must have :- 8+ years of hands-on ETL development experience,- Data pipeline design & development,- Data lakes & Warehouse project development experience,- MS Azure Data Factory/SSIS.- Azure Data Lake, Azure storage- Data lakes, ETL/ELT, Data warehousing using Azure ADLS Gen2, Databricks-Mandate, - Azure Data Factory.- CI/CD practices and technologies specifically Azure DevOps- Scripting- Python/Scala.- For Any 2- SAP Hana and/or SAP BODS is will be preferred and good to have.Good to have :- SAP Hana- SAP OBDS- NodeJS- Azure Certification-Preferred- Experience with big data tools : Hadoop, Spark, Kafka, Storm, Hive, Hbase (ref:hirist.tech)


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