Azure Data Engineer
Azure Data Engineer
Posted on :
06-02-2024
Employer Active
1 Vacancy
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Job Description
Req ID : 2510336
Mandatory Skills: / PySpark / Spark with Azure/Databricks/SQL/Python/Azure Datafactory
Primary Roles and Responsibilities:
Developing Modern Data Warehouse solutions using Databricks and Azure Stack
Ability to provide solutions that are forwardthinking in data engineering and analytics space
Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow Skills and
Qualifications:
Must have a total 4 yrs. of IT experience experience in Data warehouse/ETL projects.
Deep understanding of Star and Snowflake dimensional modeling.
Strong knowledge of Data Management principles
Good understanding of Databricks Data & AI platform ans ADB
Should have handson experience in SQL Python and Spark (PySpark)
Candidate must have experience in Azure stack
Desirable to have ETL with batch and streaming (Kinesis).
Experience in building ETL / data warehouse transformation processes
Experience working with structured and unstructured data including imaging & geospatial data.
Experience working in a Dev/Ops environment with tools such as Terraform CircleCI GIT.
Proficiency in RDBMS complex SQL PL/SQL Unix Shell Scripting performance tuning and troubleshoot
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Comfortable working in a dynamic fastpaced innovative environment with several ongoing concurrent projects
Should have experience working in Agile methodology
Strong verbal and written communication skills.
Strong analytical and problemsolving skills with a high attention to detail.
databricks certified data engineer associate/professional certification,star and snowflake dimensional modeling,datalake,data warehouse,sql,etl with batch and streaming (kinesis),pl/sql,agile methodology,azure,dev/ops environment with tools such as terraform, circleci, git,azure stack,azure data factory,azure datafactory,rdbms,python,analytical and problem-solving skills,pyspark,verbal and written communication skills,unix shell scripting,etl / data warehouse transformation processes,spark,complex sql,azure databricks,etl,data management,data & ai platform,spark (pyspark),databricks,performance tuning and troubleshoot,structured and unstructured data including imaging & geospatial data
Employment Type
Full Time
Key Skills
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