Business Development Manager

1. Design, develop, and maintain data pipelines using Azure Data Factory

2. ⁠Create and manage data models in PostgreSQL, ensuring efficient data storage and retrieval.

3. ⁠Optimize query performance and database performance in PostgreSQL, including indexing, query tuning, and performance monitoring.

4. Strong knowledge on data modeling and mapping from various sources to data model.

5. ⁠Develop and maintain logging mechanisms in Azure Data Factory to monitor and troubleshoot data pipelines.

6. Strong knowledge on Key Vault, Azure Data lake, PostgreSQL

7. ⁠Manage file handling within Azure Data Factory, including reading, writing, and transforming data from various file formats.

8. Strong SQL query skills with the ability to handle multiple scenarios and optimize query performance.

9. ⁠Excellent problem-solving skills and ability to handle complex data scenarios.

10. Collaborate with Business stakeholder, data architects and PO's to understand and meet their data requirements.

11. Ensure data quality and integrity through validation and quality checks.

12. Having Power BI knowledge, creating and configuring semantic models & reports would be preferred.

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

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.

Job Responsibility and Duties

-We are looking for talent who is quick learner and grasp things quickly, well understand the requirement of feature/product, analysis the risk or edge cases, find the possible solutions and able to implement the one solutions out of proposed.

-Open for taking ownership of the feature and quality as leader. Able to design the user experience.

-You are responsible for the release quality feature on time.

-Your day to day job may involve system design, writing quality code, unit testing, team/co-worker handling, collaborative working and solution driven outcome execution.

Qualification & Skills 

-Actually degree doesn’t matter but if you did B.Tech./B.E/M.Tech/M.E./MCA good for the positions.

-This position for the node.js backend engineer.

-This other skill into your profile adds you more benefits, knowing multiple language such as python, golang, fullstack developer(also knows react.js, vue.js)

According to your talent we have 5 classification on Backend Engineering Department

1. Software Engineer   3-5LPA
2. Sr Software Engineer  5-8LPA
3. Lead Software Engineer 8-15LPA
4. Tech Lead    15-25LPA
5. Architects & System Designer 25-50LPA

Overview:

Being a “customer first” company, the Customer Support division is critical to hoichoi. This team comprises of enthusiastic, passionate, fun-loving, and highly communicative individuals who continuously work towards ensuring a great experience for hoichoi users at all times.

This is a high commitment role and you will fit right in if you believe in delivering the best of service experience and are passionate about entertainment.

Job Role:

· Answer user communication/queries via emails live chats, and calls

· Ensure minimum turnaround time for resolving user queries & complaints

· Deliver best in class service in the friendliest and timely manner

· Suggest process & product improvements based on user feedback

· Assist the team in reporting & analysis

Qualifications

· 2+ years’ experience in customer service specializing in Inbound/Outbound support, ideally from an internet start-up/e-commerce background

· Excellent proficiency in Tamil, Malayam, and English

· Critical thinking and problem-solving skills

· An understanding of the 'Customer First' principle and committed to consistently delivering high-quality customer support

Job Type: Full-time

Responsibilities:

• Writing and maintaining the modules of Magento 2.X EE websites;
• Write clean, modular, robust code to implement the desired requirements with little or no supervision;
• Work with the QA and Customer Support teams to triage and fix bugs with rapid turnaround;
• Contribute ideas for making the application better and easier to use;
• Create reusable components, which can be configured for different projects;
• Create test plans and perform thorough quality analysis on the code before go live;
• Research on new integration and plug-in capabilities.

JD for Digital Marketer (Adword Expert)

Responsibilities and Duties

1.Create, categorize, and refine keyword lists to create a comprehensive campaign that drives qualified visitors to our site

1. Perform management of PPC accounts on Google AdWords, Yahoo, Bing and other search platforms for a variety of clients.
2. Assist in the maintenance and monitoring of keyword bids, budget caps and other important account metrics.
3. Create online banner adverts and oversee pay per click (PPC) ad management
4. Track and analyze website traffic flow and provide regular internal reports
5. Manage and maintain updates for keyword lists.
6. Provide recommendations and execute strategies for keyword opportunities, campaign structuring, targeting,

 display network, and other facets of paid search in accordance with client goals.

1. Familiarity with Google Adwords reporting interface

Job Requirements:

• Experience in Search Engine Optimizations (SEO) Search Engine Marketing (SEM) and Paid Search (PPC).
• Proficiency in MS Office
• Experience working with AdWords and Bing Ads
• AdWords certification required
• Ads 360 experience (previously Double-click Search)
• BS/BA degree preferred
• Agency experience preferred
• High proficiency with Google Analytics, Bing Analytics and other website analytics software