Hadoop Job Vacancies in Hyderabad

we are in the lookout for a seasoned Cloud Data Lead. We are eager to connect with you if you have extensive experience in cloud platforms, data architecture, and leadership!

Job Summary: We are looking for a Salesforce Developer who will play a key role in maximizing the efficacy of the CRM. You will be responsible for the design, development, testing and implementation of customizations, applications, extensions and integrations. You will work with a team of fellow engineers and collaborate with our Sales, Customer Success and Marketing teams to translate business needs into effective and scalable products within the CRM. Responsibilities: Develop, implement and maintain Salesforce customizations, applications, extensions and integrations. Participate in the planning/analysis of business requirements for system changes and enhancements. Collaborate inter-departmentally to identify business needs and translate them into technical solutions. Responsible for developing in Apex, Lightning Web Components, Lightning Design System, and other technologies to build customized solutions. Technical leadership, setting best practices including integration and application development, deployment, testing (unit and systems), and iterative refinement. Seek out ways to use Salesforce to improve processes and productivity, and make recommendations to support an organization scaling at a rapid pace. Should be able to work as individual contributor. Excellent communication and collaboration skills.Skills: Must-Have* - Apex, VF, Lighting Web Components Triggers, SOQL, Test Classes Good-to-Have- Java Script knowledgeQualifications: Bachelors degree or higher in Information Technology, Business, Engineering, or a related field. BE/BTech/MCA Full-Time Education

Requirement: Strong NoSQL resource who has good knowledge of Java. Development experience is mandatory. Exposure to working knowledge of Druid will be ideal. Someone who has a high level of skill on Hadoop, Hive, etc will also be quickly able to learn Druid. Experience in working with druid data modeling Experience in performance tuning of druid configuration, query optimization Experience in working with Kafka, Pulsar, and Druid for real-time streaming data ingestion Experience in working with cloud platforms and Kubernetes Good knowledge of Java Min 6 months to 1-year experience in Druid is a MUST Experience in Java programming is a MUST Strong NoSQL experience Candidate must have Experience in Hadoop and HiveKey Skill: Java, Druid, Hadoop, Hive, Kubernetes, Job Type: PermanentNo of Vacancy: 03Gender: BothExp. Required: 4-8 YearsSalary: INR 10,00,000 - 20,00,000 PAQualification: Any GraduateCandidate Profile: Min 6 months to 1-year experience in Druid is a MUSTExperience in Java programming is a MUSTStrong NoSQL experienceCandidate must have experience in Hadoop and HiveNotice Period Immediate to 30 DaysIndustry: IT-Software / Software ServicesFunctional Area: IT Software - Application Programming, Maintenance (Software Developer)

Need Architect/Senior level with below Hadoop SME Requirements 1. Senior/Lead level in Hadoop2. Experience with On-prem Hadoop and/or non-GCP Hadoop distributions.3. Must have experience with Batch and Streaming ETL workflows on non-GCP/on-prem Hadoop4. Experience with Spark and legacy MapReduce apps (scripts and workflows)5. Experience with Core Hadoop migrations to GCP/Dataproc in addition to data lift-shift

Excellent verbal and written communication. Should be able to speak confidently throughout the conversationExperience working with customer Business/IT team1. Mandatory to have end-to-end experience working in a Hadoop Data environment (Dev, QA, and Prod) with large data sets (Petabytes).2. Experience with MapReduce code builds and deployments for data sourcing and loads into the Hadoop ecosystem3. Very comfortable with HIVE and HIVEQL4. Comfortable with the broader Hadoop ecosystem HDFS, Yarn, Ambari, Zookeeper, Presto5. Experience working on Apache Spark creating data processing jobs and running them on Spark clusters6. Data migration experience from Hadoop On Prem to HDInsights preferred.7. Knowledge of challenges faced in converting MapReduce jobs to Spark.8. Must have worked on several projects in the Big data spaceHands-on with experience with1. Cloudera Hadoop 5.x2. Hadoop experience: 2-4 years3. Spark experience 2-4 years4. Python and/or Java

We are hiring Hadoop with Kafka for Immediate basis.We have multiple openings for Hadoop with KafkaPosition/Title: Hadoop with KafkaLocation: 100% Remote(India Domestic)Experience: 4 yrs - 10yrs

Create and manage our data infrastructure and tools, including collecting, storing, processing and analyzing a range of data and data systems. You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results. Youll also make this data easily accessible across the company and usable in multiple departments.

Roles and Responsibilities:1. Analyze Hadoop data pipeline codes and identify issues, provide fix recommendation2. Support ETL pipeline investigations to ensure data pipelines are working as per design3. Analyze cluster performance and investigate individual jobs impact to meet daily SLAs4. Design information flow for new reporting requirements and build data architecture5. Develop data pipelines to support reporting products6. Support data analysis for reporting products7. Support disaster recovery process during outagesRequired Skills:1. 10 -15yrs. relevant experience in the listed skills: Python/Big data/ Hadoop/ETL/ADF/SCALA2. Experience in Reporting / Data disaster recovery management3. Experience in Apache Druid is recommended4. Bachelors/ masters in computer science5. Exposed in Big data monitoring tools Desired Candidate Profile.

Performs analysis, design and development of ETL processes to support projectrequirements. Develop Informatica BDM mappings, SQL/stored procedures as well as data maps forPowerExchange, or Unix shell scripts. Develop Sqoop scripts to extract data to/from RDBMS to Hadoop. Develop CDC jobs using DES and creates data ingestion pipeline using DEIcomponent. Develop Hive & HBase tables and write impala queries. Develop Spark jobs in (Scala/Python/Java) in order to stream / publish or consume datafrom Hadoop. Performs unit testing, QA, and work with business partners to resolve any issuesdiscovered during UAT. Responsible for peer-review of mappings and workflows when required. Maintains development and test data environments by populating the data based onproject requirements. Works with production control and operations as needed to promotemappings/workflows, implement schedules and resolve the issues. Reviews ETL performance and conducts performance tuning as required on mappings /workflows or SQL. Maintains all applicable documentation pertaining to specific SDLC phases.

We have vacant of 20 Data Engineer Jobs in Hyderabad,Bangalore,Chennai,Pune Experience Required : 3 Years to 10 Years Educational Qualification : Other Bachelor Degree Skill Snowflake,Python,ETL,Hadoop,Big data etc.