Associate Director - Engagement & Retention Marketing

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.

Position: Full Stack Developer

Location: Coimbatore

Experience: 5 to 9 yrs.

Notice Period: within 15 to 30 days.

Work Mode: WFO; Hybrid Mode available.

Website: www.intellectyx.com

Duties and Responsibilities:

• Build and maintain robust, performant, user-facing web applications in Python/Django/React.
• Ability to work in fast paced, high pressure, agile environment, and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.
• Maintain a high level of quality for delivering software.
• Participate in sprint planning and task breakdown and estimation.
• Collaborate with various team members and stakeholders on requirements definition and feature design & development.
• Develop and enforce data engineering, security, data quality standards through automation.

Position Qualifications:

• Bachelor’s degree in computer science or Similar discipline.
• 3+ years of working experience building web applications using Python, Django, or some equivalent MVC framework.
• Working experience deploying and supporting software solutions in a production environment.
• Knowledgeable on best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Excellent verbal & written communication skills.
• Experience scaling web applications as well as working with ReactJS.
• Expertise in building and managing large volume data processing (both streaming and batch) platform and performance optimization is a plus.
• Strong team focus with outstanding organizational and interpersonal, management, communication, and presentation skills.

Technology Areas of Expertise

• 3+ yrs of experience in React.js with Redux or angular
• 3+ yrs of experience in Python, Django
• Good Knowledge or experience in Cloud/AWS
• Experience in PostgreSQL ,

Android Developer 

JD:- 

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our team of talented engineers to design and build the next generation of our mobile applications. Android programming works closely with other app development and technical teams. 

Responsibilities: 

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability • Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Requirements: 

• Proven software development experience and Android skills development • Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

1. 1.5+ Years of experience in .Net, ASP.Net and C#, WCF/API and REST services.
2. Should be able to write clean and good scalable code.
3. Hands on experience with CSS, JavaScript and jQuery
4. Strong knowledge in OOPS concepts.
5. Knowledge of T SQL with SQL server 2008 R2/2012 including Stored Procedures, Triggers & User Defined Functions.
6. Good to have CSS3 and HTML5 knowledge.
7. Good analytical and communication skills are required.
8. Preference will be given to the candidates who can do client interaction.

Reporting to the founder, you will be expected to develop, deploy and oversee the execution of the tech strategy, product road-map and operations to ensure alignment with our businesses goals as we grow and scale. You will play a key part in the organisation's success, taking the current MVP and developing it further to move the company through to early stage funding and into profit.

Quesst's is built using React.js [Frontend], Node.js [Backend], PostgreSQL [DB], Amazon EC2 [Application Hosting], Amazon S3 [Media Storage Service], and Amazon SES [Email Sending Service]. You will be responsible for implementing full-stack features and collaborate with other team members to plan each sprint. You’ll be working across the entire system architecture and be responsible for designing, implementing and maintaining restful APIs, micro-services and databases.