JOB DESCRIPTIONS

As a part of Customer Data management capability,

This position will provide a platform to work in strategic and tactical initiatives across various industries.

Specific responsibilities for this:

- Analyze the source data and identify the optimum design to ingest and store the data

- Design, create, build & maintain data pipelines

- Aggregate & Transform raw data coming from a variety of data sources to fulfill the functional & non-functional business needs

- Performance optimization: Automating processes, optimizing data delivery & re-designing the complete architecture to improve performance.

- Handling, transforming & managing Big Data using Big Data Frameworks & NoSQL databases.

- Building complete infrastructure to ingest, transform & store data for further analysis & business requirement.

YOUR ROLE: Analytics Capability - CD & O- CDM - Analyst

QUALIFICATIONS

Minimum undergraduate technical degree (B.E. / BTech/ equivalent) or post-graduation degree in Computer Applications/IT with 2-5 years of relevant experience.

YOUR EXPERIENCE:

This position requires proven ability to deliver results is a must. Individual must be able to effectively manage cross-functional partners that are internal and external. Ideal candidate will have to demonstrate excellent project management skills, strong communication with the ability to present findings to multiple levels. Experienced in managing and/or delivering capabilities and/or knowledge of SDLC in data management and systems configuration is a plus. The candidate should have some people management experience

Experience:

- Experience in requirements gathering and design/implementation for Big Data Lake, Enterprise Data warehouse, BI and Analytics projects

- At least one full end to end Big Data Lake (On-Prem or Cloud) /Enterprise DW / BI implementation using technologies like Talend/Spark/Scala/PySpark/Kafka/ Flume /Hive /Hadoop etc.

- One industry-leading BI/Visualization solution experience (Preferably in Power BI, Qliksense, D3, Tableau or any other leading Visualization and BI Tool)

- Hands-on designing a Customer data solution to handle

- Data ETL for Big Data Lake using Informatica, Talend, Kafka, Flume, sqoop, Spark etc.

- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

- End to end experience with at least one Cloudera /Hortonworks/AWS/GCP/Azure

- Experience in Agile and Production Support should have handled Code Deployment, Scheduling and Troubleshooting

- Experience in python

- Good to have Financial Services/Communication/Product industry experience

- Exposure to Customer analytics

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