Software Engineering Consultant II/Senior Consultant I
Allstate (company site, opens in a new tab)HybridDirect career pageEst. 20–30 LPA
Posted 14d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines and ETL/ELT processes using Apache Spark (Scala), Python, Java, and SQL to support large-scale structured and unstructured data.
- Design and optimize data models, transformation logic, and integration workflows across MongoDB, relational databases, and data warehouses.
- Own data quality, validation, monitoring, CI/CD deployment, and troubleshooting data pipeline issues while collaborating with data scientists, analysts, and business stakeholders.
Minimum Requirements
- Proficient in Apache Spark with Scala, Python, Java, SQL, and MongoDB for data engineering tasks.
- Experience developing and optimizing ETL/ELT pipelines for large datasets.
- Work Experience Required: Not explicitly mentioned in the JD.
- Must be familiar with Agile development processes and best practices including TDD and continuous integration.
Ideal Candidate Profile
- Experienced in full-stack software product development with strong data engineering focus incorporating Spark and multiple programming languages.
- Able to contribute to solution architecture, technical design decisions, and mentoring junior engineers.
- Comfortable working in Agile teams and collaborating cross-functionally with data scientists, analysts, and business stakeholders.