Subject Matter Expert

Design, implement, and improve the analytics platform

Implement and simplify self-service data query and analysis capabilities of the BI platform

Develop and improve the current BI architecture, emphasizing data security, data quality

and timeliness, scalability, and extensibility

Deploy and use various big data technologies and run pilots to design low latency

data architectures at scale

Collaborate with business analysts, data scientists, product managers, software development engineers,

and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,

forecasting, clustering, and machine learning algorithms

Educational

At Ganit we are building an elite team, ergo we are seeking candidates who possess the

following backgrounds:

7+ years relevant experience

Expert level skills writing and optimizing complex SQL

Knowledge of data warehousing concepts

Experience in data mining, profiling, and analysis

Experience with complex data modelling, ETL design, and using large databases

in a business environment

Proficiency with Linux command line and systems administration

Experience with languages like Python/Java/Scala

Experience with Big Data technologies such as Hive/Spark

Proven ability to develop unconventional solutions, sees opportunities to

innovate and leads the way

Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on

projects involving creation of data lake or data warehouse

Excellent verbal and written communication.

Proven interpersonal skills and ability to convey key insights from complex analyses in

summarized business terms. Ability to effectively communicate with multiple teams

Good to have

AWS/GCP/Azure Data Engineer Certification

About us

Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers

About the Role

We are seeking an experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. The ideal candidate will have a strong background in software engineering, database management, and data architecture, with a passion for building robust and efficient data systems

What you will do

1. Design, build, and maintain scalable data pipelines and infrastructure to ingest, process, and analyze large volumes of structured and unstructured data.
2. Collaborate with cross-functional teams to understand data requirements and develop solutions to meet business needs.
3. Optimise data processing and storage solutions for performance, reliability, and cost-effectiveness.
4. Implement data quality and validation processes to ensure accuracy and consistency of data. 
5. Monitor and troubleshoot data pipelines to identify and resolve issues in time.
6. Stay updated on emerging technologies and best practices in data engineering and recommend innovations to enhance our data infrastructure.
7. Document data pipelines, workflows, and infrastructure to facilitate knowledge sharing and ensure maintainability.
8. Create Data Dashboards from the datasets to visualize different data requirements

What we need

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. Proven experience as a Data Engineer or similar role, with expertise in building and maintaining data pipelines and infrastructure.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Strong knowledge of database systems (e.g., SQL, NoSQL, BigQuery) and data warehousing concepts.
5. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
6. Familiarity with data processing frameworks and tools (e.g., Apache, Spark, Hadoop, Kafka).
7. Excellent problem-solving skills and attention to detail.
8. Strong communication and collaboration skills.

Preferred Qualifications

1. Advanced degree in Computer Science, Engineering, or related field.
2. Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
3. Knowledge of machine learning and data analytics concepts.
4. Experience with DevOps practices and tools.
5. Certifications in relevant technologies (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).

Please refer to the Company’s website - https://rideblitz.com/

Job Description:

• In depth knowledge of NodeJS, ExpressJS, Mongo DB

• Experience implementing applications using React

• Experience creating front end applications using HTML5, React, Saga

• Hands on experience with JavaScript Development on both client and server-side

• Experience with modern frameworks and design patterns

• Experience in using Github / Bitbucket

• Knowledge of using AWS and deploying applications on AWS

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Scala analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Scala ecosystem.

• Identify bad code practices in Scala and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Scala and Java.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Scala best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.

A few recognitions:

• Recognized as Top25 startups in India to work with 2019 by LinkedIn
• Winner of HDFC Bank's Digital Innovation Summit 2020
• Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
• Winner of Amazon AI Award 2019 for Fintech
• Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
• Winner of FinShare 2018 challenge held by ShareKhan
• Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
• 2nd place Citi India FinTech Challenge 2018 by Citibank
• Top 3 in Viacom18's Startup Engagement Programme VStEP

What your average day would look like:

• Deploy and maintain mission-critical information extraction, analysis, and management systems
• Manage low cost, scalable streaming data pipelines
• Provide direct and responsive support for urgent production issues
• Contribute ideas towards secure and reliable Cloud architecture
• Use open source technologies and tools to accomplish specific use cases encountered within the project
• Use coding languages or scripting methodologies to solve automation problems
• Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
• Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time

What you need to work with us:

• Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
• Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
• Proficiency in Unix Operating systems and comfortable with Networking concepts
• Experience with developing/deploying a scalable system
• Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
• Experience in managing Hadoop clusters
• Understanding of containers and have managed them in production using container orchestration services.
• Solid understanding of data structures and algorithms.
• Applied exposure to continuous delivery pipelines (CI/CD).
• Keen interest and proven track record in automation and cost optimization.

Experience:

• 1-4 years of relevant experience
• BE in Computer Science / Information Technology