Content Writer

🔹 Position : Scrum Master (Agile & SAFe)

📍 Location : Chennai (RMZ – Face-to-Face Interview Required)

💼 Experience : 2+ Years (Total & Relevant)

💰 Budget : Up to 8 LPA

📅 Joining : Immediate

Job Description :

We are looking for a motivated and experienced Scrum Master with hands-on experience in Agile and SAFe (Scaled Agile Framework) methodologies.

The ideal candidate will have strong facilitation skills, excellent communication, and a proactive mindset to drive Agile best practices across the team.

Mandatory Skills :

Agile, Scrum, SAFe (Scaled Agile Framework), Team Facilitation, Strong Communication Skills.

Key Responsibilities :

• Facilitate Agile ceremonies such as Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Guide and coach the team on Agile and SAFe principles, ensuring adherence to best practices.
• Act as a servant leader, removing impediments and helping the team remain focused and productive.
• Foster a culture of collaboration, continuous improvement, and high performance.
• Work closely with Product Owners, Developers, and other stakeholders to ensure delivery of high-quality products.

Mandatory Skills :

• Agile & Scrum Methodologies
• SAFe Framework
• Strong communication and team facilitation skills
• Proactive problem-solving attitude

Interview Mode :

• Face-to-Face only at RMZ, Chennai

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Responsibilities

• Drive new business and build strong relationships with existing clients.
• Grow and drive profitability in the unit numbers.
• Common Point of contact for Client and Agency.
• Taking client briefing and de-briefing the agency spocs.
• Ideation of digital campaigns basis business requirements /trendings.
• Presentation of thoughts to senior management.
• Handling coordination of digital media plans.
• Ensuring the execution as per the plan.
• Task Planning and management for the team.
• Address client queries effectively and in a timely manner.
• Liaison for requirements related to any campaigns.
• Reporting - Campaign /website / social.
• Keep a track of campaign deliverables wrt to committed numbers.
• Monthly review preps.

Requirements

• Presentation Analytics - Adwords/ Google Analytics/Facebook Ads/ Programmatic.
• Communication - Oral / Written.
• In-depth understanding of online marketing tools and social media platforms.
• Ensuring timely approvals from clients.
• Invoice processing and closures with Finance.
• Good knowledge of 360 Digital Marketing Aspects.
• Cross function Team Management.

JD –

Having experience in Implementing Integration Solutions using Oracle Integration Cloud Service.

Developed integration between SaaS application (Oracle Cloud ERP, Oracle Cloud HCM) and between SaaS and PaaS application

Should have worked extensively on minimum 3-4 Technology Adapters like File, Database, Oracle ERP & FTP adapter

Should have excellent skill in Web Service technologies such as XML, XPath, XSLT, SOAP, WSDL, and XSD

Experience in all phases of software development lifecycle from gathering requirements to documentation, testing, implementation and support Ability to troubleshoot technical and configuration issues

Should be able to communicate effectively with the functional & technical groups and various technical team members.

Ensure completion of tasks, milestones, and components including Technical specifications, design specifications, configurations, quality assurance, implementations, and project reviews

• BE/B.tech Computer science or related degree.
• Salesforce Platform Developer II certification is highly desired
• 4+ years of experience programming on the Salesforce platform
• Deep understanding of the Salesforce.com product suite including Sales Cloud, Platform and the App Exchange
• Extensive development experience with Apex Classes, Triggers, Visual-force, Lightning, Batch Apex, SOQL, Salesforce API's and other programmatic solutions on the Salesforce platform
• Firm understanding of advanced design patterns and engineering best practices
• Familiarity with agile software delivery methodologies such as Scrum
• Background in development of enterprise systems as part of a complete software product life-cycle
• An effective communicator that works well in a collaborative team setting
• Natural problem solver who enjoys identifying ways to improve our customer's overall experience
• Prior experience in SaaS or subscription-based companies is a plus
• Familiar with integration applications such as Boomi, Informatica and Mulesoft preferred
• Working knowledge of Web and JavaScript frameworks are a plus Self-starter, self-motivated, able to work independently, prioritize effectively, and perform multiple tasks under minimal supervision.

• Express their operations strategies and objectives to make sure that the company reaches its target and operates effectively.
• Assisting higher executives.
• Working directly with customers handling the documentations.