Working with business stakeholders, project managers, business analysts, and other IT teams to understand the business needs and their requirements.
Acquiring data from primary or secondary data sources and maintaining databases/data systems.
Interpreting data, analyzing results using statistical techniques and provide ongoing reports
Designing, developing, implementing, and managing distributed applications and systems on Azure Cloud platform.
Development and implementation of databases, data collection systems, data analytics, and other strategies that optimize efficiency and quality.
ETL development, data analysis, technical design, and testing. Programming in Pyspark and SQL/PLSQL along with knowledge Data modelling.
You need to have:
At least 6 months of experience of working as an Azure Data Engineer and strong experience in databricks, ADLS and Synapse.
1 year of internship experience in Azure or dataskills, or completion of 3-6 months of formal training in SQL education as part of BTech in Computer Science, IT, or a related field.
Experience in Pyspark and SQL/PLSQL along with knowledge Data modelling.
Experience in designing and developing automation solutions utilizing Python would be an added advantage.
You will fit and love it; If:
You are resourceful and creative.
You enjoy autonomy and growth opportunities.
You are empathetic and communicate with honesty, candor, and respect.
You are proactive and willing to work in a fast-paced, goal-driven working environment.