Urgent Opening for Relationship Manager - Indore location

Location: Navi Mumbai / Bangalore / Noida

As an MIS Executive at Buildesk, you will play a crucial role in managing, analyzing, and reporting on key data to support informed decision-making across various departments. You will ensure data integrity, generate insightful reports, and contribute to the overall efficiency of our information systems.

Key Responsibilities:

• Collect, analyze, and report on data from various sources.
• Generate accurate daily, weekly, and monthly MIS reports and dashboards.
• Ensure data integrity and support system processes.
• 
  

Requirements:

• Proven MIS/Data Analysis experience 
• Advanced Excel proficiency (Pivot Tables, Formulas essential; VBA a plus).
• Strong analytical, problem-solving, and communication skills.
• Familiarity with CRM/ERP systems is a plus

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.

About Hamleys:

Hamleys is not just a Toy Store but an entire Toy experience. Currently there are more 125 stores in India and we are present in more than 20 countries. 365 days of play is the brand philosophy of Hamleys. At Hamleys we believe in giving our customers an Instore experience that helps him build memories for lifetime.

Job Title: Fun Consultant

Grade: A1

Role:

• Warmly welcome and approach each customer – customer’s inclination to shop starts right from the first step & eye contact.
• Believes and lives the attitude of “Sheer customer delight” – go beyond
• To efficiently adhere to all “company procedures and policies.”
• To work with the team to achieve award winning “customer service.”

Key Responsibilities:

• Contribute to achieve store KPIs.
• Utilize the knowledge of trends and guide each customer on “what suits better” – in line with the customer needs, individuality and product range.
• Believes and lives the attitude of “Sheer customer delight” – go beyond

Desired Skills & Abilities

• Superior understanding of Indian retailing and global trends.
• Good communication and interpersonal skills - understand customer needs
• Good at relationship building - conversion to sales
• Ability to follow brand and store guidelines
• Good operations experience – receiving stock, inventory keeping, cash handling etc.

• Good experience and exposure of cloud native architecture, development and deployment on public clouds AWS, Google Cloud etc
• Responsible for Linux server installation, maintain, monitoring, data backup and recovery, securtiy and administration
• Understanding of clusters, distributed architecture, container environment 
• Experience in networking, including linux, software defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks
• Knowledge of several middleware such as MySQL, Apache etc
• Responsible for managing network storage
• Disaster recovery and incident response planning
• Configuring/monitoring firewalls, routers, switches and other network devices

• Support the globally distributed cloud development and teams by mainitaning the cloud infrastructure labs hosted in a hybrid cloud environment
• Contribute towards optimization of preformance and acost of running the labs

• 6 to 8 years of experience with the majority as Java engineer
• Strong hands-on experience on building the application using technologies Java, Spring/Springboot/Microservices
• Experience in building Micro Services using Spring Boot would be a plus
• Strong knowledge and experience with SQL queries and databases like Postgre SQL/Oracle.