This position is open with Bajaj Finance ltd.”
* 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 CDC tool which included extraction pump and replications to SQL NoSQL Streaming Infrastructure and Object Stores. 5. Cross functional engagements including support functions like ML/AI EDW Bigdata IT COE & Business etc. 6. Participate in internal meetings/ cross functional – IT Data & Data Science Business Projects Basic Qualifications (Mandatory) 1. Minimum 4 to 5 years on managing Oracle Golden Gate On-premise licenses OCI cloud and DIPC service 2. Minimum 1 to 2 years of managing hands on Data | Big Data | Cloud pipeline capability across large data and business driven based use cases 3. Hands on experience on the following areas a. Oracle database (11g /12c /18c/19c) b. Oracle Golden Gate ( 12.2s/18.1/19.1/20) c. Should have knowledge on any one of the following languages – Scala Python or Java. d. Deep knowledge on Spark shells (Scala Pyspark Spark SQL Spark R) e. Working with cloud platforms (MS AWS) f. Microsoft Azure Stack (EDW Data Lake Data Factory Databricks Synapse Cosmos etc.) g. Big Data Ecosystem (such as Spark Hive) h. Production scale Database (like Oracle MS SQL Server MySQL PostgreSQL) i. NoSQL (like CosmosDB HBase MongoDB Cassandra etc.) j. Data Warehousing (such as Microsoft Azure DW Redshift Teradata etc.) k. Data Lake (Azure AWS etc.)
* 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 are 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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