Data Project Manager
Data Project Manager
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Job Description
Role: Technical Data Project Manager
Location: Scottsdale AZ (Hybrid Mandatory)
Duration: Long term contract
Client: LTIMindtree
Rate: $65/hr on C2C
Job Description:
Very good communication skills should be able to coordinate with different business stakeholders understand the requirements translate into technical documents.
Should be able to resolve any delays or clarifications required with business team.
Should understand the data solutions landscape connect and convince customer on regular basis. Act as SPOC for both onshore and offshore team for support as well as development work.
Must have:
Data architecture experience 34 years of working experience on Azure Databricks.
Having at least 1 project implementation experience on Azure Databricks.
Strong in SQL and Data Analysis skills.
Should have knowledge on platform setup.
Should have good understanding of batch & streaming data flows.
Should have knowledge on Kafka Spring Boot Rest APIs.
Should have experience in working with MongoDB / Postgres / Graph DB.
Should have working experience on cloud environments.
Participate and represent in detailed architectural discussions with the Global Data team to build confidence and ensure customer success when building new solutions and migrating legacy data within the Azure Data Lake platform.
Experience with Azure Cloud and Data Analytics solutions.
Ability to build Azure cloud data solutions and provide technical perspective and expertise on storage platform services cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks).
Exposure to large databases BI applications data quality and performance tuning.
Experience with ETL processing or ETL toolset.
Data Management concepts and standards (SQL Server Oracle Cloud Snowflake Azure etc.).
Ability to establish relations and build the rapport with customer stakeholders.
Should be able to articulate the problem statement & solution.
Should have excellent communication presentation and analytical capability.
Good to have:
Provide subject matter expertise and hands on delivery of data capture and consumption of legacy data via Global template pipelines and Global framework playbook protocols.
Expert hands on experience in Azure Data Factory Data Lake store/Blob storage SQL DB Experience in creating Pipelines with Azure components.
Strong SQL experience writing stored procedures tuning indexes and troubleshooting performance bottlenecks.
Skills in Python.
Good knowledge on MDM Data Quality & Data Governance.
Good communication skills able to coordinate between client and offshore team.
Thanks & Regards
Naveen Paila
Phone: 1(925)5234284
Employment Type
Full Time
