Senior Consultant

2 weeks ago

Gurgaon, Haryana, India VIDPRO CONSULTANCY SERVICES Full time

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
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.
Mandatory Skills :
/ PySpark / Spark with Azure/Databricks/SQL/Python/Azure Datafactory
)

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