Team leader

Ideal Candidate

10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.

Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.

Proficiency in SQL, Python, and Scala for data processing and analytics.

Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.

Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice

Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.

Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).

Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.

Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.

Proven ability to drive technical strategy and align it with business objectives.

Strong leadership, communication, and stakeholder management skills.

Job Title: Java Developer 

Experience: 4 –10 Years 

Location: Mumbai / Bangalore 

Employment Type: Full-time 

We are looking for experienced and passionate Java Developers with strong expertise in Core Java, multithreading, and performance tuning. You will be responsible for designing and developing high-performance, scalable, and resilient backend systems. This is an exciting opportunity to work on complex, enterprise-level systems and modern architectures like microservices and event-driven frameworks.

 • 3–10 years of hands-on experience in Java (8 or above) development. 

 • Strong foundation in OOPs, data structures, algorithms, and design patterns.

 • Deep understanding of multithreading, concurrency, and synchronization techniques.

 • Experience with Spring Boot, Spring MVC, JPA/Hibernate. 

 • Good working knowledge of RESTful API development. 

 • Proficient in SQL and experience with relational databases like MySQL, PostgreSQL, etc.

 • Familiarity with Git, Maven/Gradle, and CI/CD pipelines. 

 • Exposure to Agile/Scrum methodology

Financial Management & Reporting:

•Oversee all accounting transactions, monthly, quarterly, and annual closings, and publish timely financial statements.

•Prepare budget forecasts, supporting annual financial planning and financial health assessments.

Compliance & Taxation:

•Compute and file tax returns, ensuring GST compliance with regulations.

•Conduct audits to maintain financial accuracy, adhere to standards, and comply with financial policies.

•Regularly review bookkeeping for accuracy and compliance.

Cash Collection:

•Oversee the company’s cash collection process and ensure that cash receipts are processed efficiently and accurately.

•Monitor and track cash flow regularly, ensuring sufficient funds are available for operations.

•Coordinate with the sales and customer service teams to address any issues or discrepancies related to payments.

Trade Receivables Management:

•Monitor and manage trade receivables, ensuring that outstanding invoices are followed up on and collected in a timely manner.

•Track aging of receivables and ensure that overdue accounts are actively pursued.

•Issue statements and reminders to clients regarding overdue payments.

Account Reconciliation & Financial Health:

•Manage balance sheets, profit/loss statements, and report on the company's financial health and liquidity to stakeholders.

•Audit financial transactions and documents, maintaining meticulous records.

Technical Proficiency & Confidentiality:

•Reinforce financial data confidentiality and conduct database backups as necessary to secure sensitive information.

•Proficiently utilize Tally, Oracle, and Excel for comprehensive financial analysis and reporting.

•Stay updated with industry standards and best practices to ensure high-quality and secure financial data handling.

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

Client: MNC (WFO)

Role: ANGULAR DOT NET DEVELOPER

Exp: 5 years to 8 years

CTC : UPTO 28 lpa.

NOTE:Serving notice period (30days/immediate joiner.

Candidates from Bangalore location only apply.

Hands-on working knowledge and experience is required in:

a. Extensive experience working on C#, .net and .net core frameworks

b. Relational Databases (SQL Server, etc.)

c. Experience with Angular is a must

d. Agile Methodologies (Scrum, TDD, BDD, etc.)

e. Experience working with distributed teams across regions and time zones

f. Strong organizational skills

g. Display detailed, critical, quality-oriented, skeptical thinking about the product

• Experience with several of the following tools/technologies is desirable:

a. GIT, Jira, Jenkins, SharePoint, Visual Studio Code.

b. Microservices Architecture, Domain Driver Design, Test Driven Development is a must

c. Design Patterns and implementing the Design Patterns

d. Development of Complex Application and System Architectures

e. Data Structures and Algorithms using C# and .NET

f. Experience working in Azure Cloud will be a big bonus as all our systems are in the Cloud

a. Azure App Services

b. Azure Functions

c. Azure Cosmos

d. Azure K8S

• Knowledge of the following technologies is a plus:

a. Continuous Integration and Continuous Delivery Tools like Azure DevOps, GitHub, Git, etc.

b. Containerization Technologies(DOCKER).

Industry

• Information Technology & Services

Employment Type

Full-time

Mandatory: Hands on experience working with Java or Kotlin. Very strong logical skills. Good hold on operating system concepts and data structure. Experience with web services , SQL Lite , camera kit , image caching concepts, keychain , past experience working with one of the design patterns like MVC / MVVM / MVP , network check implementation.

Good to have:  Rx-Swift experience , video / image filter experience , media player usage , complex UX effects , couch-db , RealM.Knowledge of GIT management , Continuous Integration and Continuous Development practices.

Soft Skills: Strong communication skills , high spirited , eager to learn , able to perform in a high pressure environment