Associate Delivery Manager - Data Engineer/Associate Delivery Manager - Data Engineer

☞ Bajaj FinServ

View: 103

Update day: 23-04-2024

Location: Pune Maharashtra

Category: Electrical / Electronics

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Job content

Job Reference

* JR00080134


Job Summary

* Associate Delivery Manager - Data Engineer/Associate Delivery Manager - Data Engineer

Job Purpose

“This position is open with Bajaj Finance ltd.”

Job Duties & Key Responsibilities

* Duties and Responsibilities - 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 functional - IT Data & Data Science Business Projects Basic Qualifications (Mandatory) 1. Minimum 4 to 5 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 GCP) 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 Cosmos DB 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


Required Qualifications and Experience

* Basic Qualifications (Mandatory) 1. Minimum 4 to 5 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, GCP) 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 Cosmos DB, HBase, MongoDB, Cassandra etc.) h. Data Warehousing (such as Microsoft Azure DW, Redshift, Teradata, etc.) i. Data Lake (Azure, AWS, etc.)
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Deadline: 07-06-2024

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