Python
ScalaThe Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.
Actively participates with other consultants in problem-solving and approach development.
Responsibilities :
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
Perform data analysis to validate data models and to confirm the ability to meet business needs.
Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
Coordinate with Data Architects, Program Managers and participate in recurring meetings.
Help and mentor team members to understand the data model and subject areas.
Ensure that the team adheres to best practices and guidelines.
Requirements :
- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.
- Experience with Spark optimization/tuning/resource allocations
- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.
- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).
- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.
- Have a deep understanding of the various stacks and components of the Big Data ecosystem.
- Hands-on experience with Python is a huge plus
Shubham Vishwakarma
Full Stack Developer - Averlon
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NodeJS (Node.js)Job Title : Senior Software Engineer – Backend
Experience Required : 6 to 12 Years
Location : Bengaluru (Hybrid – 3 Days Work From Office)
Number of Openings : 2
Work Hours : 11:00 AM – 8:00 PM IST
Notice Period : 30 Days Preferred
Work Location : SmartWorks The Cube, Karle Town SEZ, Building No. 5, Nagavara, Bangalore – 560045
Note : Face-to-face interview in Bangalore is mandatory during the second round.
Role Overview :
We are looking for an experienced Senior Backend Developer to join our growing team. This is a hands-on role focused on building cloud-based, scalable applications in the mortgage finance domain.
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- Implement scalable solutions using AWS services (e.g., Lambda, SQS, SNS, RDS).
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- Take ownership of system performance, scalability, and reliability.
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- Good understanding of distributed systems, scalability, and availability.
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Python
Django
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Spring BootPythonResponsibilities
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PythonDjango
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MongoDB
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PythonJavascriptAmazon Web Services (AWS)
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PythonDjangoFlaskinai is building the future of payments
inai is Segment for payments. We make the lives of digital/online merchants easier
by enabling them to manage their payments’ stack in a low-touch / no-code
fashion. Merchants can now future proof their payment stack and break out of the
consistent trade-off between a great checkout experience and the flexibility
required to maintain the same.
inai was founded by serial entrepreneurs who have decades of experience in
finance and tech. inai has been backed by marquee investors including Kunal
Shah, Razorpay, the first investors in Square/Twitter, and other stellar investors.
Background
Back-end engineers will build the core of inai’s platform which comprises of 3
broad teams:
• Front-end: handle the checkout experience for our merchants and the
dashboard their product teams would be using daily
• Integrations: that handle our integrations with various payment processors,
wallets, BNPLs, analytics providers, fraud and risk providers and accounting
software.
• Platform: The glue that holds it all together. APIs will be the norm, databases
your core, scalability, reliability, and system design your everyday concern.
You will
• Develop APIs to integrate with 3rd party systems — primarily in the payments
domain
• Work closely with our front end and integrations engineering teams and also
with our colleagues across the globe.
• Take ownership for the modules you develop and key technology decisions,
and customer issues.
• Contribute towards documentation (internal and customer-facing), code
reviews, tooling, and processes.
You will have
• 2 to 8 years experience as a full stack engineer. Atleast 1+ years in handling
payments recently.
• Experience in working with 3rd party APIs. You should be able to peruse 3rd
party API documentation and retro-fit the APIs with the platform team.
• Experience writing APIs in Python, relational databases
• Can communicate and interact with a larger team
• Experience in working with multiple payment gateways or integrating them
• Experience with handling payment tokens.
Good-to-have
• Experience with OpenAPI, JSON API specs
Benefits
• Health insurance for you and your loved ones - on us.
• Work-life balance: Our success will not come at the expense of your work-life
balance
• Grow with us: Working in the intersection of fintech and SaaS, you will have
all the opportunities to grow in this thriving sector.
• Work from Home: We will help set up your home in your residence in India.
Inai will continue to operate remotely till the situation returns back to normal.
Python
Elastic Search
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon