6 Kudu Jobs

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India's leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly Digital India by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India. We're proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best. VIL's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees. VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. VIL is an equal opportunity employer committed to diversifying its workforce. Role Legal & IPDR Hadoop Ops Job Level/ Designation AGM (Band M2) Function / Department IT-Application Operations Location Pune Job Purpose Manage central operations of Legal on CDP platform and IPDR Hadoop Platform services ensuring critical deliveries to Nodal and law enforcement agencies. Accountable to ensure availability of critical Voice, SMS, GPRS CDRs and IPDRs timely and accurately for consumption by nodal and Law enforcement teams. Oversee Incidents, Problems, Releases, changes & Solution Reviews, ensuring uninterrupted service support as well as seamless transition from Build to Operate. Spearhead operational excellence initiatives and enforce compliance with IT KPIs to maintain high service availability. Drive operational excellence initiatives to ensure compliance to DOT service SLA commitments. Demonstrate strong service-oriented approach, taking full ownership of service management in multi partner setup. Key Result Areas/Accountabilities Ensure operational excellence and manage a legal system on Cloudera data platform and IPDR platform on Cloudera data platform. Ensure high performance and service excellence for Nodal and Legal teams. Ensure adherence to 7 critical IT SLAs, while processing 8+ trillion CDRs daily leading to 50+ Nodal & Legal KPIs, and ensuring adherence to high service performance guarantees through a multi partner engagement comprising of Accolite, Kyndryl, Cloudera and IBM. Manage direct / Indirect team of approx 30+ resources. Drive multi partner governance to drive service improvements, ensure compliance with service guarantees and communicate service performance to managers. Drive excellence initiatives through automations to bring in operational efficiency and leverage AI, ML, RPA, etc technologies to streamline operations, reduce MTTR, process improvements and foster cost efficiency and business benefits. Good knowledge of service management, close coordination with delivery and transformation team to ensure smooth and seamless deployment of new IT applications or updates to existing ones Core Competencies, Knowledge, Experience A technologist with 7+ years of experience in managing Hadoop Big Data technologies viz. Hortonworks Data Platform and Cloudera Data Platform. Good knowledge of Cloudera manager and CDP Cluster tuning. Must be proficient with latest technologies viz. MapReduce, Kafka, Kerberos, Impala, HDFS, HBase, Hive, Kudu, Spark, Ice Berg, Yarn and Ozone. Should have good knowledge of Parquet, ORC and AVRO file formats Hadoop. Experience in managing production environment, including high availability, SLAs, KPI monitoring, performance optimization, real-time ingestions, and data model management. Expertise in driving automation initiatives for incident reduction, process optimization, high availability through cutting-edge technologies, fostering an environment of continuous improvement. Proficient in analytical, independent thinking with a strong technological background. Skilled in managing application operations, incident & problem management, good knowledge of capacity planning and performance management Proficient in service delivery and streamlining processes and technologies, eliminating redundancies, and optimizing solutions. Proficient in fine tuning of Big data cluster technologies to improve performance. Exposure to Agile, ITIL, and DevOps methodologies Good communication and stakeholder management skills to manage partners and business stakeholders alike. Must have technical / professional qualifications BE, MCA/MBA or Higher Cloudera Certification in Cloudera Data Platform Hadoop Certification in Hortonworks Data Platform Years of Experience 7+ years Industries to look from Telecom Big Data Professionals from BFSI, FMCG, Network Equipment manufacturers, IT Service providers Ideal Organizations to look from TSP IT service providers for TSP (viz. White Clay, IBM, Infosys, Koenig Sol, Aveva, Equinix, PoleStar Sol, Kyndryl, Ericson, Cisco) Direct Reports NA Vodafone Idea Limited (formerly Idea Cellular Limited) An Aditya Birla Group & Vodafone partnership

Req ID: 324609 We are currently seeking a Data Engineer to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS. Develop and deliver detailed presentations to effectively communicate complex technical concepts. Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc. Adhere to Agile practices throughout the solution development process. Design, build, and deploy databases and data stores to support organizational requirements. Basic Qualifications: 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Experience with Informatica, Python, Databricks, Azure Data Engineer Ability to travel at least 25%." Preferred Skills: Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems. Exhibit a strong understanding of Data integration technologies, encompassing Informatica, Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc. Showcase professional written and verbal communication skills to effectively convey complex technical concepts. Undergraduate or Graduate degree preferred

Req ID: 324653 We are currently seeking a Data Engineer to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS. Develop and deliver detailed presentations to effectively communicate complex technical concepts. Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc. Adhere to Agile practices throughout the solution development process. Design, build, and deploy databases and data stores to support organizational requirements. Basic Qualifications: 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Experience with Informatica, Python, Databricks, Azure Data Engineer Ability to travel at least 25%." Preferred Skills: Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems. Exhibit a strong understanding of Data integration technologies, encompassing Informatica, Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc. Showcase professional written and verbal communication skills to effectively convey complex technical concepts. Undergraduate or Graduate degree preferred

Req ID: 324631 We are currently seeking a Data Engineer to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS. Develop and deliver detailed presentations to effectively communicate complex technical concepts. Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc. Adhere to Agile practices throughout the solution development process. Design, build, and deploy databases and data stores to support organizational requirements. Basic Qualifications: 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Experience with Informatica, Python, Databricks, Azure Data Engineer Ability to travel at least 25%." Preferred Skills: Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems. Exhibit a strong understanding of Data integration technologies, encompassing Informatica, Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc. Showcase professional written and verbal communication skills to effectively convey complex technical concepts. Undergraduate or Graduate degree preferred

Req ID: 324632 We are currently seeking a Data Engineer to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS. Develop and deliver detailed presentations to effectively communicate complex technical concepts. Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc. Adhere to Agile practices throughout the solution development process. Design, build, and deploy databases and data stores to support organizational requirements. Basic Qualifications: 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Experience with Informatica, Python, Databricks, Azure Data Engineer Ability to travel at least 25%." Preferred Skills: Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems. Exhibit a strong understanding of Data integration technologies, encompassing Informatica, Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc. Showcase professional written and verbal communication skills to effectively convey complex technical concepts. Undergraduate or Graduate degree preferred

Hiring Big Data Lead with 8+ years experience for US Shift time: Must Have: - Big Data: Spark, Hadoop, Kafka, Hive, Flink - Backend: Python, Scala - NoSQL: MongoDB, Cassandra - Cloud: AWS/AZURE/GCP, Snowflake, Databricks - Docker, Kubernetes, CI/CD Required Candidate profile - Excellent in Mentoring/ Training in Big Data- HDFS, YARN, Airflow, Hive, Mapreduce, Hbase, Kafka & ETL/ELT, real-time streaming, data modeling - Immediate Joiner is plus - Excellent in Communication