MongoDB Database Administrator

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.

Please find the below JD Cisco Engineer(N+C)+Cisco Engg (R&S)+SdWan

 Up to 10 years of hands-on experience in managing LAN,  WAN, SDWAN, DC Networking, WiFi.

 •  Strong understanding of TCP/IP, routing protocols, L2/L3 switches, Wi-Fi 802.11 and SD-WAN networks experience.

 •  Experience in Implementation and Troubleshooting of  Wireless controller, Access Points, 802.1x, Wi-Fi protocols (802.11a/b/g/n/ae/ac)

 •   Good understanding of VLAN, VTP, DTP, 802.1Q trunk, STP, MSTP, ACL, SNMP config.

 •  Experience of working on Routers and Switches (Cisco ASR, ISR , Catalyst, Nexus )

 •  Experience in configuring and troubleshooting BGP, OSPF, IS-IS, EIGRP and static routes.

 •  Experience in configuring and troubleshooting STP, MSTP, RSTP, VSTP, HSRP, DHCP.

 •  Should have experience of configuration and management of Cisco viptela SDWAN solution.

 •  Prior experience in Implementation and migration projects involving above-mentioned technologies is mandatory.

 •  Strong troubleshooting and problem-solving skills.

 •  Positive, communicative, and customer-oriented attitude.

Someone with hands-on experience with Story Boarding, typography, Color, Vector illustration, Social Media Ads, carousels ,Image selection.

Other Design Skills, Layout Skills, Illustrations, Infographics, Creativity, Flexibility, Attention to Detail, Deadline-Oriented, Desktop Publishing Tools.

Strong liaison skills to deliver assignments in time.

Up to date with industry leading software and technologies (Illustrator, In Design, Corel Draw, Photoshop etc.)

Professionalism regarding time, costs and deadlines.

Proven graphic design skills, Backed by a strong portfolio.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net.

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

1. Understand PHP, JavaScript, and JQuery.
2. Have deep knowledge of working with the platform APIs.
3. Use version control for Shopify theme development.
4. Possess excellent soft skills, such as communication and teamwork.
5. Have an extensive portfolio and testimonials of happy clients.

Minimum 5+ years in react

Must have worked on desktop application

Must have worked in frontend and backend both

5+ years of experience with React js, work closely with design, product management, and development teams to create elegant, usable, responsive, and interactive interfaces across multiple devices; experience with Electron js framework is a plus.

Experience: 6+ Years

Essential Skills & Experience

• Must to have minimum of 3 years of experience in using Angular 2+ and above versions.
• Develop modern software applications and working with the team to solution definition and guide teams through execution and implementation
• Ensuring high performance on mobile and desktop
• Must have experience for writing tested, idiomatic, and documented Angular, JavaScript, HTML and CSS
• Must have knowledge of OOP concepts, industry best practices and architecture designs.
• Must have good understanding of web technology/enterprise level applications.
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Cooperating with the back-end developer in the process of building the RESTful API
• Communicating with external web services
• Experience should include structured source code management using SVN or GIT and build using MAVEN/Grunt.
• Good to have backend experience in any one of the backend technologies mentioned below:
  • Java with Spring boot.
  • PHP
• Need to have good experience in Web application designing.
• Good to have experience in Agile methodology.

Nice to Have

• Experience with web servers like Nginx or NodeJS
• Basic awareness of cloud orchestration frameworks like Kubernetes/Docker
• Understanding of Unit Testing Frameworks

BEHAVIORAL SKILLS

• Self-motivated and a Quick Learner
• Ability to consistently perform and meet deadlines
• Attention to detail and follow-through
• A good understanding of customer satisfaction
• Ability to work effectively in a team as well as in an individual environment
• Excellent written and verbal communication skills