UI/UX Designer

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

We are looking for a proactive and people-savvy individual to serve as the bridge between our clients and our Customer Success Managers (CSMs). This role is ideal for someone who enjoys client interaction, problem-solving, and ensuring smooth delivery of post-sales services.

Key Responsibilities:

• Act as the first point of contact for clients post-onboarding
• Assist the CSM team in understanding client requirements and priorities
• Coordinate between internal teams and clients to ensure timely updates and follow-ups
• Help track deliverables and ensure SLAs are met
• Maintain clear communication records and update CRMs accordingly
• Handle client feedback, concerns, and route them to appropriate internal stakeholders

What We’re Looking For:

• Strong communication and interpersonal skills
• Ability to manage multiple tasks and work under pressure
• Good understanding of customer service processes
• Basic knowledge of CRM tools (HubSpot, Salesforce, etc.) is a plus
• Fresher or 1-2 years of experience in customer-facing roles preferred

Location: Hyderabad, India. WFO only 

Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.

The Application Development team's tech stack can consist of VueJS, ReactJS or Angular on the front end and also includes Typescript, NodeJS, Express, NestJS, PostgreSQL, RESTful Microservices, and cloud services.

In this role, you will be leveraging your well-versed knowledge of software engineering principles and system design along with a team of interesting and super-smart engineers to solve new and hard to solve business problems with elegant software. We hire Dynamic, Curious, Hustlers who constantly challenge themselves (and others) to grow and be innovative in their approach to bring concepts and designs to life and be committed to lifelong technology (and everything) learning.

Required Experience:

• Love of Javascript/Typescript with a strong understanding of its design patterns, best practices, and style guides with atleast 4+ years of experience in Frontend development.
• Strong production experience with Javascript MVC frameworks - preferably AngularJS, React JS, and/or VueJS
• C# and API Development (RESTful, GraphQL, .Net Web API) experience
• Test first and test often development approach with Karma and Jasmine, Mocha, or Protractor frameworks
• Ability to leverage Git version control in a production environment
• Have experience with and curiosity of agile and lean philosophies
• Have experience working and a strong understanding of object-oriented programing and browser technologies
• Ability to see and communicate your ideas to clients and the team

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 Description:

• To resolve the tickets raised as per the defined standards of time, cost, and quality for increased customer satisfaction.

Skills and Experience

• Good SQL & PLSQL knowledge.
• Good Unix basic commands knowledge.
• Good Unix scripting knowledge will be an advantage.
• ANSI SQL
• Unix - Others/
• Experience - Fresher

• Min. of 10+ years of overall exp., with min. 4-5years as a Scrum Master
• Technical background. Should have worked in Development background and not Testing background.
• B.Tech / B.E / Engineering discipline
• CSM (Certified Scrum Master), PSM (Professional Scrum Master) I/II certifications or any other Scrum related certification
• SAFe (Scaled Agile Framework) experience
• Excellent in stakeholder communication

As a software engineer, you will be the part of a team that focuses on building software applications that scale well. You will play a significant role in shaping our software architecture that provides measurable customer value. You understand both technology and business to know the right trade-offs to make. You will be a technical mentor for your team members. You will work closely with your peers, managers, product, design, and operations teams to create solutions that meet business requirements. You will drive engineering and operational excellence across Scatter. You will collaborate with other engineers to surface common pain points, develop solutions and evangelize best practices.

Qualifications:

2-3 years of professional software engineering experience building customer-facing web and/or mobile applications Strong coding skills using Python, Django, is mandatory. Knowledge on Html, Css, React Js, Jquery, Bootstrap or equivalent programming language is added advantage Graduated from Tier 1 or Tier 2 engineering colleges Excellent knowledge of Data Structures and Algorithms Bachelor or Master degree in Computer Science or a related discipline Experience working in an agile environment Self-quick learner and passionate problem solver Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems Good oral and written communication skills Above all, an insatiable desire and ability to learn

Nice to have skills:

Experience with large-scale SaaS applications Experience building web and mobile applications Experience designing services on top of cloud infrastructure like AWS, Azure, etc Prior experience in building product from 0-1

Benefits

Ownership and autonomy to drive customer and culture initiatives Opportunity to get mentored and mentor junior engineers Remote work