Software Developer

Java Backend Developer (6–9 Years)

Mandatory Skills:

• Strong Core Java (Java 8/11/17)
• Spring Boot
• Microservices Architecture
• RESTful API Development
• Collections, Multithreading, Java 8 Streams
• SQL (Oracle/MySQL/PostgreSQL)
• JPA/Hibernate
• Git, Maven, Jenkins
• Unit Testing (JUnit/Mockito)

Good to Have:

• Kafka/Event-Driven Architecture
• Docker/Kubernetes
• Cloud (AWS/GCP/Azure)

Responsibilities:

• Design and develop scalable backend microservices.
• Build secure REST APIs for enterprise applications.
• Write clean, optimized, production-quality code.
• Debug production issues and perform code reviews.
• Work in Agile teams and contribute to CI/CD pipelines.

Experience: 6–9 Years

Location: Bangalore / Mumbai / Chennai (Hybrid)

Job Description:

• He / She candidate must possess a strong technology background with advanced knowledge of Java and Python based technology stack.
• Java, JEE, Spring MVC, Python, JPA, Spring Boot, REST API, Database, Playwright, CI/CD pipelines
• * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
• * Experience with Web Service development, REST and Services Oriented Architecture.
• * Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
• * Working knowledge of Databases including Design, SOL proficiency.
• * Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
• * Experience with Unix/Linux Operating System and Basic Linux Commands.
• * Strong development skills with ability to understand technical design and translate the same into workable solution.
• * Basic knowledge of Python and Hand-on experience on Python scripting
• * Build, deploy, and monitor applications using CI/CD pipelines, * Experience with agile development methodology.
• Good to Have - Elastic Index Database, MongoDB. - No SQL Database Docker Deployments, Cloud Deployments Any Al ML. snowflake Experience
• 
  

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:

Your Responsibilities! 

• Development of C#, .NET and Java applications and web applications in the field of Product Lifecycle Management (PLM) and Product Information Management (PIM)

• Design and development of interfaces for our application software

• Continuous improvement of the software used after consultation with our users

• Support for the replacement of legacy applications by SAP and other standard software solutions

• Software documentation, creation of test scenarios and execution of release cycles

Required Skills: 

• Successfully completed (Bachelor's) degree with a focus on computer science or equivalent professional experience

• Knowledge of the programming languages C#, .NET

• Knowledge of SQL and database applications such as Microsoft SQL or ORACLE

• Good analytical skills, result-oriented, problem solving, execution focused person

• Business fluent English, German would be an advantage

Even better if you have:

• Knowledge of PLM software and the PLM process would be a plus

• Experience in an agile development and/or DevOps environment

• Experience with Atlassian stack Jira/Bitbucket/Bamboo would be a plus

About Easyrewardz:

• Easyrewardz offers industry-agnostic cloud-based CRM, Loyalty and Conversational Commerce solutions that enable seamless omnichannel customer experience.
• At Easyrewardz, we believe that every customer data captured has a story to tell! Our key focus has always been to help brands deliver seamless customer experience and create a deeper customer connect by leveraging actionable insights obtained from data.
• The Indian retail ecosystem is still learning to rely on data when it comes to delivering consistent customer experiences throughout the journey, hence we’ve tried to address those gaps and pain points with our CRM suite.
• Our entire gamut of solutions has Customer Data Platform at the core providing intelligence that powers every product and enables Single View of Customer.

About the role

At EasyRewardz, we're using leading-edge technology to create best loyalty solutions of tomorrow. When you join us as a Sr. Software Engineer, you'll become part of a team focused on innovation and change. You'll work a little harder. You'll aim a little higher. You'll expect more from yourself and others. And at the end of the day, you'll be doing a lot of good work. Through a lot of inspired individuals, we are using technology to build varied nature of loyalty solutions that works better for more people in more ways than ever.

We are looking to reinforce our team with people who are decisive, brilliant and built for speed -- people like you.

As a backend .NET core developer, you will be predominantly involved in:

• Developing business solutions by creating new and modifying existing software web applications.
• Coding, testing, debugging & supporting all types of enterprise web applications consistent with established specifications and business requirements to deliver business value.

This is more than a challenging development role. This is high performance technology.

Responsibilities:

• Develop, test, implement and maintain .net core based middle layer/services application working with established processes.
• Ensure adherence of best coding practicesfor a high-performance data processing backend application.
• Identify production and non-production application issues & assist team with optimal solution.
• Identify opportunities to fine-tune and optimize applications of .Net core developed projects, including periodic code review.
• Provide technicalsupport and consultation for .Net core backend application and deployment related queries

Desired Skills Technical Skills

• Experience in WCF/Web Services or REST API (Using C#.Net core)
• 1+ years of hands on experience (using HTTPS) .Net core Based Windows Services 2+ year of hands on experience SQL Server (2012 or 2014)
• 2+ year of hands on experience in writing high performance SQL queries.
• (MySQL is preferable) Message Queue (RabbitMQ, Kafka or similar) Work experience preferable for message queue based architecture development Distributed Cache Management (Redis Cache, MemCached or similar) Experience preferable

• Multiple consumer-grade B2B apps for our agency partners, powering near real-time quoting, streamlined policy administration and claims management
• Safety platform to help transportation fleets understand and improve their safety
• Lead generation apps to build our customer acquisition funnel

• You have experience with software development/coding.
• You learn quickly and can operate independently. You're not afraid to take something on just because you don’t know how to do it yet.
• You not only have the ability or skill to communicate effectively but also have the willingness to be open and honest in your communication.
• You have a growth mindset. You take data-driven decisions and are constantly looking for opportunities to optimize and enhance our customer experience.

• Competitive weekly pay
• Reimbursement for your home-office setup
• Weekly team events to connect with fun, bright coworkers
• Lots of swag!