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Lightning Job By Cutshort ⚡

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About Databook:-

- Great salespeople let their customers’ strategies do the talking.

Databook’s award-winning Strategic Relationship Management (SRM) platform uses advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency.

The Opportunity

We're seeking Junior Engineers to support and develop Databook’s capabilities. Working closely with our seasoned engineers, you'll contribute to crafting new features and ensuring our platform's reliability. If you're eager about playing a part in building the future of customer intelligence, with a keen eye towards quality, we'd love to meet you!

Specifically, you'll

- Participate in various stages of the engineering lifecycle alongside our experienced engineers.

- Assist in maintaining and enhancing features of the Databook platform.

- Collaborate with various teams to comprehend requirements and aid in implementing technology solutions.

Please note: As you progress and grow with us, you might be introduced to on-call rotations to handle any platform challenges.

Working Arrangements:

- This position offers a hybrid work mode, allowing employees to work both remotely and in-office as mutually agreed upon.

What we're looking for

- 1-2+ years experience as a Data Engineer

- Bachelor's degree in Engineering

- Willingness to work across different time zones

- Ability to work independently

- Knowledge of cloud (AWS or Azure)

- Exposure to distributed systems such as Spark, Flink or Kafka

- Fundamental knowledge of data modeling and optimizations

- Minimum of one year of experience using Python working as a Software Engineer

- Knowledge of SQL (Postgres) databases would be beneficial

- Experience with building analytics dashboard

- Familiarity with RESTful APIs and/or GraphQL is welcomed

- Hand-on experience with Numpy, Pandas, SpaCY would be a plus

- Exposure or working experience on GenAI (LLMs in general), LLMOps would be a plus

- Highly fluent in both spoken and written English language

Ideal candidates will also have:

- Self-motivated with great organizational skills.

- Ability to focus on small and subtle details.

- Are willing to learn and adapt in a rapidly changing environment.

- Excellent written and oral communication skills.

Join us and enjoy these perks!

- Competitive salary with bonus

- Medical insurance coverage

- 5 weeks leave plus public holidays

- Employee referral bonus program

- Annual learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development

- Complimentary subscription to Masterclass

Job Responsibilities:

1. Develop/debug applications using Python.

2. Improve code quality and code coverage for existing or new program.

3. Deploy and Integrate the Machine Learning models.

4. Test and validate the deployments.

5. ML Ops function.

Technical Skills

1. Graduate in Engineering or Technology with strong academic credentials

2. 4 to 8 years of experience as a Python developer.

3. Excellent understanding of SDLC processes

4. Strong knowledge of Unit testing, code quality improvement

5. Cloud based deployment and integration of applications/micro services.

6. Experience with NoSQL databases, such as MongoDB, Cassandra

7. Strong applied statistics skills

8. Knowledge of creating CI/CD pipelines and touchless deployment.

9. Knowledge about API, Data Engineering techniques.

10. AWS

11. Knowledge of Machine Learning and Large Language Model.

Nice to Have

1. Exposure to financial research domain

2. Experience with JIRA, Confluence

3. Understanding of scrum and Agile methodologies

4. Experience with data visualization tools, such as Grafana, GGplot, etc

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to unleash the power of the cloud on their terms by helping them rapidly achieve continuous and autonomous cloud governance at scale. CoreStack enables enterprises to realize outcomes across FinOps, SecOps and CloudOps such as a 40% decrease in cloud costs and a 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well-Architected Framework (WAF). CoreStack works with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government. 

The company is backed by industry-leading venture investors. CoreStack is a recent recipient of the 2021 Gold Stevie American Business Awards in the Cloud Infrastructure category and the 2021 Gold Globee Winner of the Most Innovative Company of the Year in IT Cloud/SaaS. In addition, CoreStack won the 2021 Best New Products American Business Award in Cloud Governance as well as Golden Bridge Awards for Cloud Computing/SaaS Innovation and Cloud Security Innovation. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic Quadrant for Cloud Management Platforms in 2020. The Company is a three-time TiE50 Winner and an Emerge 50 League-10 NASSCOM award recipient in Enterprise Software. CoreStack is a Google Cloud Build Partner, Microsoft Azure Gold & Co-Sell Partner, and Amazon AWS Advanced Technology Competency Partner.

Responsibilities:

• Part of a product team responsible for the Quality of the product used by Global customers
• Drive the automation efforts to reduce the time taken to identify issues
• Contribute towards the process improvement involving the entire Product development life cycle.
• Should be able to capture the user behavior and identify the gaps in UX flows. 
• Responsible for the performance and usability of the Product.

Requirements

• Minimum 4+ Years of experience in testing domain.
• Should be well versed with Software Testing Methodologies and Techniques
• Should have experience in AWS or Azure or Google Cloud
• Should have experience in Manual Testing and identifying the critical scenario.
• Should have experience in Data Base testing
• Should have experience in Test Management tools.
• Should have experience in performance testing, load testing and basic knowledge on security testing.
• API testing using Soap UI is an added advantage.
• Selenium with Java is an added advantage.
• CI & CD using Jenkins is an added advantage.
• Prior work experience with Cloud domain and cloud based products is a Plus

CoreStack Offers

• Competitive salary
• Competitive benefit package with appreciable equity
• Exciting, fast-paced and entrepreneurial culture
• Health insurance and other company benefits

Job Description:

TeamExtn is looking for a passionate Senior Scala Engineer. It will be expected from you to build pragmatic solutions on mission-critical initiatives. If you know your stuff, see the beauty in code, have knowledge in depth and breadth, advocate best practices, and love to work with distributed systems, then this is an ideal position for you.

As a core member of our Special Projects team, you will work on various new projects in a startup-like environment. These projects may include such things as building new APIs (REST/GraphQL/gRPC) for new products, integrating new products with core Carvana services, building highly scalable back end processing systems in Scala and integrating with systems backed by Machine Learning. You will use cutting edge functional Scala libraries such as ZIO. You will have the opportunity to work closely with our Product, Experience and Software Engineering teams to deliver impact.

Responsibilities:

• Build highly scalable APIs and back end processing systems for new products
• Contribute in the full software development lifecycle from design and development to testing and operating in production
• Communicate effectively with engineers, product managers and data scientists
• Drive scalability and performance within our distributed AI platform
• Full software development lifecycle from design and development to testing and operating in production
• Communicate effectively with engineers, product managers and data scientists

Skills And Experience:

• 4+ years experience with Scala, Java or other functional language
• Experience with Akka and Lightbend stack
• Expert with PostgreSQL, MySQL or MS SQL
• Experience in architecting, developing, deploying and operating large scale distributed systems and actor systems
• Experience with cloud APIs (e.g., GCP, AWS, Azure)
• Messaging systems such as GCP Pub/Sub, RabbitMQ, Kafka
• Strong foundation in algorithms and data structures and their real-world use cases.
• Solid understanding of computer systems and networks
• Production quality coding standards and patterns

BONUS SKILLS:

• Experience with functional programming in Scala
• Knowledge of ZIO and related ecosystem
• Experience with functional database libraries in Scala (Quill preferred)
• Kubernetes and Docker
• Elasticsearch
• Typescript, React and frontend UI development experience
• gRPC, GraphQL

Recko Inc. is looking for data engineers to join our kick-ass engineering team. We are looking for smart, dynamic individuals to connect all the pieces of the data ecosystem.

What are we looking for:

1. 3+  years of development experience in at least one of MySQL, Oracle, PostgreSQL or MSSQL and experience in working with Big Data technologies like Big Data frameworks/platforms/data stores like Hadoop, HDFS, Spark, Oozie, Hue, EMR, Scala, Hive, Glue, Kerberos etc.

2. Strong experience setting up data warehouses, data modeling, data wrangling and dataflow architecture on the cloud

3. 2+ experience with public cloud services such as AWS, Azure, or GCP and languages like Java/ Python etc

4. 2+ years of development experience in Amazon Redshift, Google Bigquery or Azure data warehouse platforms preferred

5. Knowledge of statistical analysis tools like R, SAS etc 

6. Familiarity with any data visualization software

7. A growth mindset and passionate about building things from the ground up and most importantly, you should be fun to work with

As a data engineer at Recko, you will:

1. Create and maintain optimal data pipeline architecture,

2. Assemble large, complex data sets that meet functional / non-functional business requirements.

3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

4. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

5. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

6. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

7. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

8. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

9. Work with data and analytics experts to strive for greater functionality in our data systems.

About Recko: 

Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and  across external payment ecosystems with agility, confidence and at scale.  . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations. 

Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.

Working at Recko: 

We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.

Job Title: Power BI Developer(Onsite)

Location: Park Centra, Sec 30, Gurgaon

CTC:        8 LPA

Time:       1:00 PM - 10:00 PM

Must Have Skills: 

• Power BI Desktop Software
• Dax Queries
• Data modeling
• Row-level security
• Visualizations
• Data Transformations and filtering
• SSAS and SQL

Job description:

We are looking for a PBI Analytics Lead responsible for efficient Data Visualization/ DAX Queries and Data Modeling. The candidate will work on creating complex Power BI reports. He will be involved in creating complex M, Dax Queries and working on data modeling, Row-level security, Visualizations, Data Transformations, and filtering. He will be closely working with the client team to provide solutions and suggestions on Power BI.

Roles and Responsibilities:

• Accurate, intuitive, and aesthetic Visual Display of Quantitative Information: We generate data, information, and insights through our business, product, brand, research, and talent teams. You would assist in transforming this data into visualizations that represent easy-to-consume visual summaries, dashboards and storyboards. Every graph tells a story.
• Understanding Data: You would be performing and documenting data analysis, data validation, and data mapping/design. You would be mining large datasets to determine its characteristics and select appropriate visualizations.
• Project Owner: You would develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions, and would be continuously reviewing and improving existing systems and collaborating with teams to integrate new systems. You would also contribute to the overall data analytics strategy by knowledge sharing and mentoring end users.
• Perform ongoing maintenance & production of Management dashboards, data flows, and automated reporting.
• Manage upstream and downstream impact of all changes on automated reporting/dashboards
• Independently apply problem-solving ability to identify meaningful insights to business
• Identify automation opportunities and work with a wide range of stakeholders to implement the same.
• The ability and self-confidence to work independently and increase the scope of the service line

Requirements: 

• 3+ years of work experience as an Analytics Lead / Senior Analyst / Sr. PBI Developer.
• Sound understanding and knowledge of PBI Visualization and Data Modeling with DAX queries
• Experience in leading and mentoring a small team.