Azure Data Engineer

4 weeks ago

Bengaluru, India Vidpro Consultancy Services Full time
Mandatory Skills: / PySpark /Spark with Azure/Databricks/SQL/Python/AzureDatafactory
PrimaryRoles and Responsibilities: Developing Modern Data Warehouse solutionsusing Databricks and Azure Stack Ability toprovide solutions that are forwardthinking in data engineering andanalytics space Collaborate with DW/BI leadsto understand new ETL pipeline developmentrequirements. Triage issues to find gaps inexisting pipelines and fix the issues Workwith business to understand the need in reporting layer and developdata model to fulfill reporting needs Helpjoiner team members to resolve issues and technicalchallenges. Drive technical discussion withclient architect and team membersOrchestrate the data pipelines in scheduler via Airflow Skillsand Qualifications: Must have a total 4 yrs. of IT experienceexperience in Data warehouse/ETL projects.Deep understanding of Star and Snowflake dimensionalmodeling. Strong knowledge of DataManagement principles Good understanding ofDatabricks Data & AI platform ansADB Should have handson experience in SQLPython and Spark (PySpark) Candidate musthave experience in Azure stack Desirable tohave ETL with batch and streaming (Kinesis).Experience in building ETL / data warehouse transformationprocesses Experience working with structuredand unstructured data including imaging & geospatialdata. Experience working in a Dev/Opsenvironment with tools such as Terraform CircleCIGIT. Proficiency in RDBMS complex SQL PL/SQLUnix Shell Scripting performance tuning andtroubleshoot Databricks Certified DataEngineer Associate/Professional Certification(Desirable). Comfortable working in adynamic fastpaced innovative environment with several ongoingconcurrent projects Should have experienceworking in Agile methodology Strong verbaland written communication skills. Stronganalytical and problemsolving skills with a high attention todetail.

databrickscertified data engineer associate/professional certification,starand snowflake dimensional modeling,datalake,data warehouse,sql,etlwith batch and streaming (kinesis),pl/sql,agilemethodology,azure,dev/ops environment with tools such as terraform,circleci, git,azure stack,azure data factory,azuredatafactory,rdbms,python,analytical and problem-solvingskills,pyspark,verbal and written communication skills,unix shellscripting,etl / data warehouse transformationprocesses,spark,complex sql,azure databricks,etl,datamanagement,data & ai platform,spark(pyspark),databricks,performance tuning and troubleshoot,structuredand unstructured data including imaging & geospatialdata

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