
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

About Koantek
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About OptimHire
OptimHire is a fast-growing talent solutions and consultancy services provider, dedicated to helping clients source top-notch professionals for their critical business needs. We pride ourselves on fostering an environment of growth, innovation, and collaboration.
- Job SummarySenior Manager / Head of Salesend-to-end salesKey ResponsibilitiesBusiness Development & StrategyUS staffing and consultancy servicesClient Relationship ManagementCXOs and key decision-makersEnd-to-End Sales Cycleinitial outreachTeam Leadership & DevelopmentLead, mentor, and motivate a sales team, setting clear goals and targets.
- Provide
Qualifications & Requirements7+ years
As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:
C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.
Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.
Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.
Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.
Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.
Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).
Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.
Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.
Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.
Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.
Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.
Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.
Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.
Data Scraping Specialist
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
- Your core objective is to develop and maintain web scraping tools to build datasets for research and trading
- Contributing to integrate datasets from internal or external providers
- Manage the multiple and extensive dataset used in the QRT research and trading platform
- Monitoring fetching processes and data health
- Supporting users (Quants & Traders)
Your present skillset
- 4+ years’ experience in web scraping
- Advanced English, both written and verbal communication skills
- Polyglot developer, Python coding is important
- Software engineering best practices
- Ability to communicate and understand user needs
- Structured and unstructured data management expertise is a plus
- Knowledge of the financial data of equity/derivatives is a plus
- Intellectual curiosity to learn new technologies
- Capacity to work with autonomy within a global team
KEY RESPONSIBILITIES
· Develop high-quality database solutions.
· Use T-SQL to develop and implement procedures and functions.
· Review and interpret ongoing business report requirements.
· Research required data.
· Build appropriate and useful reporting deliverables.
· Analyze existing SQL queries for performance improvements.
· Suggest new queries.
· Develop procedures and scripts for data migration.
· Provide timely scheduled management reporting.
· Investigate exceptions with regard to asset movements.
MUST-HAVES FOR THIS GIG
T-SQL, Stored Procedure, Functions, Triggers, XML Operations, JSON support on SQL 2016 and above SSIS, SSRS, CTE, EAV Data structure, Integration with NoSQL(MongoDB), SQL Server Indexes, Bulk Insert, BCP, CMD Shell ,Memory Optimization, Performance Tunning, Query Optimization, Database Designing, Table Joins, SQL Server Job agent
Backup and Maintenance plan ,Data Migration, Good Communication
NICE-TO-HAVES FOR THIS GIG:
- Working knowledge of mobile development activity.
- Working knowledge of web hosting solution on IIS7.
Experience working with an offshore –onsite development process
Data Research Associate
Location: Noida Sector 62 (Work From Office - WFO , 5 days in a week)
Employment Type: Full-time
Candidates who have completed their Internship in same domain are also welcomed
Job Description:
We are seeking a highly motivated Data Research Associate to join our team at our Noida Sector 62 office. The ideal candidate will be responsible for gathering and analyzing data, primarily from LinkedIn, to support various business initiatives. This role offers a unique opportunity for interns to learn and contribute to our data research efforts.
Key Responsibilities:
- Conduct in-depth research on individuals, companies, and industries through various online sources, with a primary focus on LinkedIn.
- Utilize Boolean search techniques and advanced search operators to identify and compile data on target audiences.
- Optimize LinkedIn profiles to enhance the visibility and branding of team members and the organization.
- Create and execute data collection strategies that align with our business objectives.
- Analyze and interpret data to provide actionable insights and recommendations.
- Collaborate with the marketing and sales teams to support lead generation efforts.
- Maintain accurate records of collected data and ensure data security and privacy compliance.
- Participate in LinkedIn networking events, webinars, and groups to expand the organization's professional network.
- Assist in CRM integration to facilitate relationship management and lead tracking.
Qualifications:
- Bachelor's degree in a relevant field (in-progress or completed) is preferred.
- Strong knowledge of LinkedIn and its features.
- Proficient in using Boolean search techniques for research.
- Excellent communication and interpersonal skills.
- Detail-oriented and able to maintain data accuracy.
- Strong analytical and problem-solving skills.
- Ability to adapt to changes and learn new LinkedIn features.
- Multilingual skills (a plus).
ROLE
Senior Product Analyst
WHY SHOULD YOU JOIN US?
At Vidyakul, you will have the opportunity to impact 60 million state board students’ lives by growing India’s first truly vernacular e-learning platform for 9-12 class state board students.
WHO ARE WE and WHAT IS OUR MISSION?
Vidyakul is a pre-Series A funded EdTech startup based out of Gurgaon, that is truly “democratizing education for the masses”
● Our Investors:
○ We Founder Circle - Backed marquee brands such as BluSmart & Zypp Electric
○ JITO Angel Network - Backed Finance Peer, largest lender of EdTech
○ Dholakia Ventures - Backed by the Diamond King of Surat
● Our Founders:
○ Tarun Saini - 3X founder, 8 years experience in Sales & Marketing
○ Raman Garg - 3X founder, 7 years experience in Ecommerce and Tech
● We are bridging the gap between the villages and quality education at an affordable cost.
● We are growing fast (3X Q-o-Q) and wish for you to be part of this rocketship!
WHAT IS THE ROLE & Responsibilities?
* Hands-on experience of tracking tools like Mixpanel, MoEngage, GA, Firebase. Able to Identify metrics, track and interpret data from different sources to understand the success of product features and iterate accordingly.
* Product Analysis with a problem first, data-driven, test & iterate approach.
* Market research, collecting user feedback and information from other teams to identify priority areas for product development
* Ability to understand user journeys and cull insights from the same
* Assist fellow engineering, design, and business leadership to define our product vision and strategy across your product areas, and deliver tangible business outcomes
SKILLS REQUIRED
* 2-5 years of experience in a similar role involving data analysis and consumer insights
* Ability to analyse data quickly - comfortable with tools like Mixpanel, MoEngage, GA, Firebase
* Strong Analytical and reasoning skills
Technical Support Manager
Full Time, Permanent
About Bizongo:
-
Good understanding and work experience with Linux, Java, Spring Boot, SQL, one of RDBMS Database
-
Good Understanding of AWS Infrastructure including EC2
Bizongo is featured in LinkedIn Top Startups 2019: The 25 hottest Indian companies to work for!
Working in Bizongo translates into being a part of a dynamic start-up with some of the most enthusiastic, hardworking and intelligent people in a fast paced and electrifying environment
Bizongo has been awarded as the most Disruptive Procurement Startup of the year - 2017
Being a company that is expanding itself every day and working towards exploring newer avenues in the market, every employee grows with the company
The position provides a chance to build on existing talents, learn new skills and gain valuable experience in the field of Ecommerce












