Golden Opportunities
Website:
gojobs.biz
Job details:
Job Description
Hands-on development experience in big data environments such as ADL, Databricks, Apache Spark, Hadoop, Azure Synapse Serverless, and Databricks SQL Warehouse.
Expertise in data modeling of SAP ERP datasets, with deep knowledge of key SAP tables.
Strong programming skills in PySpark and PySQL.
Must have experience in testing and quality assurance for data pipelines
Experience in handling event data (required for mining), preferably having worked with process mining teams, clickstream, and time-series data.
Experience in integrating data products with RPA tools, BI tools, and custom APIs would be a plus.
Experience in handling incremental data loads or CDC would be a plus.
Experience in setting up Git repos and building CI/CD pipelines and toolchain on Azure DevOps platform will be a plus.
Should have knowledge of security best practices for data pipelines, including access control, and GDPR compliance
Experience with Lakehouse architecture (e.g., Delta Lake) for unified analytics and storage
Skills Required
RoleProcess Mining
Industry TypeITES/BPO/KPO
Functional Area
Required Education B.Tech
Employment TypeFull Time, Permanent
Key Skills
- DATA ENGINEER
- PYTHON
- PY SPARK
- SQL
Other Information
Job CodeGO/JC/2762/2026
Recruiter NameMithra Dayalan
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