OIC Lead

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

•  Development using .net core
•  Requirement understanding and getting on client calls
•  Work closely with the nearshore developer
•  Perform code reviews and unit testing as planned
•  Participate in peer reviews.

•  Strong knowledge on C#, .net core 5 and Entity Framework
•  Knowledge on PostgreSQL
•  Web API, building Microsoft .NET-based web or Enterprise applications
•  Experience in building and consuming Asp.NET MVC & Web API or REST API  using 
• jQuery, JSON, AJAX, Asp.net Web Services.

•  Knowledge on Docker and Kubernetes
•  Knowledge on AutoMapper

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

• ZAMP

  
  

  Job Description : QA Engineer

  
  

  Role	QA Engineer
  Company	Zamp (https://www.zamp.finance/">https://www.zamp.finance/)
  LinkedIn	https://www.linkedin.com/company/zampfintech/">https://www.linkedin.com/company/zampfintech/
  Location	Gurgaon
  Salary	Upto 20 LPA
  Experience	3-6 years
  Employees	20+
  Funding	$25 Mn

  
  

  Roles & Responsibilities:

  
  

  We are building a global banking stack and our mission is to provide a seamless and borderless experience across banking, payment and credit services, leveraging the best of banking, fintech and crypto rails. To execute on the mission, we are systematically investing in product innovation across a multitude of banking services – cards/non-cards payments, credit, crypto payments, custody, integrations.

  
  

  This role may be good fit if you:

  • Have Experience with bug tracking tools, version control tools(Jira/ado/Perforce/SVN/Bugzilla)
  • Familiarity with Testng, JUnit, Selenium, soapUI, Jenkins
  
  

  Requirements

  Must Have Qualifications:

  • 3+ years of experience in a related role
  • Knowledge on manual testing frameworks and test automation
  • Reporting skills, proficient in creating status reports based on results
  • Good working knowledge with any ui automation library i. e selenium, cypress, etc
  • Experience working closely with development and business teams to communicate impacts and to understand business requirements
  • Experience with Android, iOS or other mobile application development or testing
  • Experience with API automation testing including unit test automation frameworks
  • Strong hands-on in test plan creation, test case management, production monitoring and debugging using logging tools
  • Intermediate expertise in automation testing development with tech stack - Java, RestAssured, TestNG, Maven, Jenkins, Allure/Extent Reporting

Experience:

The candidate should have about 5+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and architectures of distributed System is mandatory.

Required Skills:

1. In-depth knowledge of Hadoop, Spark architecture and its components such as HDFS, YARN and executor, cores and memory param
2. Knowledge of Scala and Java both
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Good knowledge of Unix/Linux.
5. Experience working on large-scale software projects
6. Understanding the big picture and the various uses cases involved while crafting the solution and documenting them in Unified Modeling language.
7. Own and maintain the architecture document.
8. Keep an eye out for technological trends, open-source projects that can be used.
9. Knows common programming languages and Frameworks.
10. Real time streaming data consumption

Good to have :

1. Azure/AWS Cloud Knowledge of Data Storage and Compute side
2. Knowledge Multitenant Architecture
3. Brief idea of Data Science
   
   

Job Summary
Responsibilities and Duties
Key Responsibilities:
o Manage social media platforms such as Facebook, Instagram, YouTube & Twitter
o Ideate and develop creative content strategies for each social media platform
o Supporting the Marketing team with content in the form of visual assets
o Creating images, memes, animated videos with graphic overlays for all clients. Creating Landing pages. Shooting videos, photos, editing and posting on SM.
o Evaluating the competitive landscape and suggesting new ideas for visual content
o Assisting with honing brand identity on the blog and social media
o Prepare monthly social media calendars
o Design, create and manage promotions and Social ad campaigns.
o Posting and engaging with the audience
o Proficiency in the use of Adobe Creative Cloud (Illustrator, Photoshop, InDesign, Acrobat, Dreamweaver, and Flash)
o Compile report to show results (ROI) and identify KPIs to be monitored and work closely with the marketing manager to set awareness goals and plan ways to achieve them. We offer the flexibility to work from home.

Additional Skills not mandatory
SEO, Website Optimization

Senior / Python Developer

We are looking for a Senior / Python Developers to join our engineering team and help us develop and maintain various software products. Your responsibilities include understanding the product very well, and lead the integration of this product into architecture.

To be successful in this role, you should have strong technical knowledge and solid experience of all steps of the software engineering process and the tools associated with those. You should be a go-getter, a clear communicator and a strong collaborator who works well in a team as well as the customer. You should want to do high quality work and produce output that you are proud of.  

• Good understanding of Python especially should have used file/directory access, data persistence, compression and archiving, cryptographic services, concurrent operations, networking and IPC, developmental tools etc.
• Good understanding of key differences in Python 2 vs 3
• Knowledge of lib2to3, six, python-future libraries. Compatibility idioms provided by these libs and their limitations, issues in using them as is.
• Knowledge of Python3 changes in data types especially str, bytes in Py3 vs str, unicode in Py2. Should be able to gauge, understand impact of this on data in transit/data at rest in a large project.
• Knowledge of using C extensions in Python code, modifying to run with Python3, Python 2-3 compatibility.
• Experience working with large python codebase.
• Working knowledge of mysql, Python ORM like sqlobject.
• Working knowledge of Common third party modules like cherrypy, falcon, gunicorn, etc.
• Good experience with basic python, no django/flask needed 
• Some code needs to run in Python 2, some in Python 3 and some in compatibility mode
• Issues for Druva are in ORM, marshalling, networking
• Need candidates having Understanding of basic data types, extensions of python 
• Data type conversion and networking is important 
• Internals of Python are important