Location PUNE - CORPORATE OFFICE
Business/Function Not Specified
Band GB03  

* JR00077343

* Data Science Engineer

“This position is open with Bajaj Finance ltd.”

* Duties and Responsibilities - Duties and Responsibilities: Key Role Responsibilities 1. Develop | Build | Manage | Data Capability products and services 2. Create | Manage Standard Operating Procedure (SOP) & Turn Around Time (TAT) 3. Data Pre-process & Standardisation 4. Implement Production Pipelines 5. Manage | Maintain | Enhance - Data Engineering Stack | Technology Basic Qualifications (Mandatory): 6. Minimum 2+ years of managing hands on Data Engineering with big data roles 7. Hands on experience on the following areas a. Data Engineering implementations (PySpark<xqyqz> SPARK<xqyqz> Java<xqyqz> Scala<xqyqz> etc.) – 2+ required b. Data Warehousing (Microsoft Azure DW<xqyqz> Redshift<xqyqz> Teradata<xqyqz> etc.) c. Data Lake (MS<xqyqz> AWS<xqyqz> etc.) d. Big Data Ecosystem<xqyqz> (such as Hadoop<xqyqz> Spark) e. Large Scale data processing f. Production scale Database (such as Oracle<xqyqz> MS SQL Server<xqyqz> MySQL<xqyqz> PostgreSQL) 8. Working proactively – agile | devops | iterative approach 9. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. 10. Strong team working and working with grounded collaborations (inter and intra teams) 11. Self-driven & high ownership levels are a must 12. Good verbal and written/presentation skills are a must<xqyqz> as well as the ability to work effectively across internal and external partners/virtual teams. 13. Constantly ahead of curve in latest Data Science related technologies and capabilities that are relevant to BFL/ Business Qualifications (Nice to have): 1. Strong orientation to Algorithms<xqyqz> Mathematics & Statistics 2. NoSQL (such as HBase<xqyqz> MongoDB<xqyqz> Cassandra<xqyqz> Cosmos) 3. Azure Data Bricks | Other scalable compute platforms 4. Strong understanding of Microsoft Azure Cloud Stack and its data & compute products 5. Graph DB (such as Arango<xqyqz> Orient<xqyqz> Neo4j<xqyqz> etc.) Educational Qualifications (Mandatory): 1. Educational background BTech | MTech | (Computer Science<xqyqz> Data Mining<xqyqz> Mathematics<xqyqz> Statistics<xqyqz> Electronics<xqyqz> Communications) Capability must be referenceable for reference check if required.

* Qualifications (Nice to have): 1. Strong orientation to Algorithms, Mathematics & Statistics 2. NoSQL (such as HBase, MongoDB, Cassandra, Cosmos) 3. Azure Data Bricks | Other scalable compute platforms 4. Strong understanding of Microsoft Azure Cloud Stack and its data & compute products 5. Graph DB (such as Arango, Orient, Neo4j, etc.) Educational Qualifications (Mandatory): 1. Educational background BTech | MTech | (Computer Science, Data Mining, Mathematics, Statistics, Electronics, Communications)

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