Bajaj FinServ
Pune
Lending
Job Reference
* JR00079747
Job Summary
* Data Engineer
Job Purpose
“This position is open with Bajaj Finance ltd.”
Job Duties & Key Responsibilities
* Duties and ResponsibilitiesDuties and Responsibilities: Key Role Responsibilities 1. Full stack Engineering capability for @scale end to end delivery. 2. Develop | Build | Manage | Evolve data pipelines for various data engineering projects. 3. The role will be 90% hands on role – Individual Contributor 4. End to end management of ADF pipelines which included extraction<xqyqz> pump and load to central datalake. 5. Quality and quantity recon from source till destination. 6. Cross functional engagements including support functions like EDW<xqyqz> Bigdata<xqyqz> IT<xqyqz> COE & Business etc. 7. Participate in internal meetings/ cross functionalIT<xqyqz> Data & Data Science<xqyqz> Business Projects Basic Qualifications (Mandatory) 1. Minimum 2 to 3 years of managing hands on Data | Big Data | Cloud pipeline capability across large data and business driven based use cases 2. Hands on experience on the following areas a. Should have knowledge on any one of the following languages – Scala<xqyqz> Python or Java. b. Deep knowledge on Spark shells (Scala<xqyqz> Pyspark<xqyqz> Spark SQL<xqyqz> Spark R) c. Working with cloud platforms (Azure<xqyqz> AWS) d. Microsoft Azure Stack (EDW<xqyqz> Data Lake<xqyqz> Data Factory<xqyqz> Databricks<xqyqz> Synapse etc.) e. Big Data Ecosystem (such as Spark<xqyqz> Hive) f. Production scale Database (like Oracle<xqyqz> MS SQL Server<xqyqz> MySQL<xqyqz> PostgreSQL) g. NoSQL (like CosmosDB<xqyqz> HBase<xqyqz> MongoDB<xqyqz> Cassandra etc.) h. Data Warehousing (such as Microsoft Azure DW<xqyqz> Redshift<xqyqz> Teradata<xqyqz> etc.) i. Data Lake (Azure<xqyqz> AWS<xqyqz> etc.) Other Important Aspects (Preferred) 1. Self-driven & high ownership levels are a must 2. Hands-on nature is must with ability to technical mentoring 3. Strong verbal<xqyqz> written<xqyqz> effective articulation is a must 4. Ability to work effectively across cross-functional teams 5. Strong team working and working with grounded collaborations (inter and intra teams) 6. Exceptional execution management with proactive program management (without follow-ups) 7. Ability to work on complex business requirements and effective delivery at scale 8. Constantly ahead of curve in latest Technology / Data Science related technologies (relevant to BFL) Educational Qualifications: 1. Educational background Bachelors | BE | Masters (Computer Science<xqyqz> Mathematics<xqyqz> Statistics<xqyqz> Electronics<xqyqz> Communications) Capability must be referenceable for reference check if required
Required Qualifications and Experience
* Duties and Responsibilities: Key Role Responsibilities 1. Full stack Engineering capability for @scale end to end delivery. 2. Develop | Build | Manage | Evolve data pipelines for various data engineering projects. 3. The role will be 90% hands on role – Individual Contributor 4. End to end management of ADF pipelines which included extraction, pump and load to central datalake. 5. Quality and quantity recon from source till destination. 6. Cross functional engagements including support functions like EDW, Bigdata, IT, COE & Business etc. 7. Participate in internal meetings/ cross functionalIT, Data & Data Science, Business Projects Basic Qualifications (Mandatory) 1. Minimum 2 to 3 years of managing hands on Data | Big Data | Cloud pipeline capability across large data and business driven based use cases 2. Hands on experience on the following areas a. Should have knowledge on any one of the following languages – Scala, Python or Java. b. Deep knowledge on Spark shells (Scala, Pyspark, Spark SQL, Spark R) c. Working with cloud platforms (Azure, AWS) d. Microsoft Azure Stack (EDW, Data Lake, Data Factory, Databricks, Synapse etc.) e. Big Data Ecosystem (such as Spark, Hive) f. Production scale Database (like Oracle, MS SQL Server, MySQL, PostgreSQL) g. NoSQL (like CosmosDB, HBase, MongoDB, Cassandra etc.) h. Data Warehousing (such as Microsoft Azure DW, Redshift, Teradata, etc.) i. Data Lake (Azure, AWS, etc.) Other Important Aspects (Preferred) 1. Self-driven & high ownership levels are a must 2. Hands-on nature is must with ability to technical mentoring 3. Strong verbal, written, effective articulation is a must 4. Ability to work effectively across cross-functional teams 5. Strong team working and working with grounded collaborations (inter and intra teams) 6. Exceptional execution management with proactive program management (without follow-ups) 7. Ability to work on complex business requirements and effective delivery at scale 8. Constantly ahead of curve in latest Technology / Data Science related technologies (relevant to BFL) Educational Qualifications: 1. Educational background Bachelors | BE | Masters (Computer Science, Mathematics, Statistics, Electronics, Communications) Capability must be referenceable for reference check if required
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