Required Skills & Qualifications
Technical Skills
- Cloud & Data Platforms:
- Microsoft Azure (ADF, Azure SQL, Azure Synapse, Azure Data Lake, Azure Functions)
- Big Data & Processing:
- Apache Spark, Databricks, Spark Streaming, PySpark
- ETL & Integration:
- Azure Data Factory, SSIS, Talend, Informatica, Hive
- Databases:
- Azure SQL Database, SQL Server, Synapse SQL Pools
- NoSQL: Cassandra, MongoDB
- BI & Visualization:
- Power BI, QlikView/Qlik Sense, Tableau
- Programming & Scripting:
- SQL, Python (Pandas, NumPy, visualization libraries), Spark SQL
- Data Modelling:
- Star schema, Snowflake schema, enterprise data warehouse design
- DevOps & Version Control:
- Azure DevOps, CI/CD pipelines, Git, GitHub, Bitbucket
Experience
- 12+ years of experience in data engineering, analytics, or data platform development
- Proven experience delivering enterprise‑scale Azure data solutions
- Strong background in financial, operational, or enterprise reporting environments
Education & Certifications
- Bachelor's degree in Engineering, Computer Science, or related field
- Microsoft Certified: Power BI Data Analyst Associate (preferred)
Soft Skills
- Strong problem‑solving and analytical thinking
- Excellent communication and stakeholder‑management skills
- Ability to work independently and in cross‑functional teams
- Detail‑oriented with a strong focus on data quality and reliability
Nice to Have
- Experience with Hadoop ecosystems (Cloudera, Hortonworks)
- Exposure to pre‑sales engagements and solution demonstrations
- Experience in real‑time or near real‑time data processing use cases
