EXPERIENCE:

• Minimum 8 Years’ Experience as BSA with strong SQL and Azure skills.

TECHNICAL SKILLS:

• Azure Cloud Services: Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Scheduler
• Data Engineering Tools: Databricks, PySpark, SQL Server
• Programming: Python, SQL
• Data Visualization: Power BI, Tableau
• Collaboration & Version Control: Jira, Confluence, Git, Bitbucket
• Other Tools: MS Office 365 (Excel, Word, PowerPoint)

SOFT SKILLS:

• Strong communication and interpersonal skills
• Proven ability to bridge the gap between business needs and technical teams
• Detail-oriented with a commitment to data quality and accuracy
  NOTE : This is a hybrid role (2 days Onsite)
  Job Types: Full-time, Fixed term contract
  Pay: $45.00-$50.00 per hour

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday

Work Location: In perso

• Gather, analyze, and document business and data requirements in collaboration with stakeholders.
• Conduct data profiling, mapping, transformation, and validation for analytics and reporting.
• Translate business objectives into technical specifications for Azure-based data solutions.
• Build data quality checks, write complex SQL/Python queries, and support data wrangling efforts.
• Participate in large-scale Enterprise Data Lake ingestion/extraction initiatives.
• Apply logic for data normalization, aggregation, and conversion as per business needs.
• Work within Agile project frameworks using tools like Jira and Confluence.