11+ Network architecture Jobs in Bangalore (Bengaluru) | Network architecture Job openings in Bangalore (Bengaluru)

Lightning Job By Cutshort⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Roles & Responsibilities

Basic Qualifications:

● The position requires a four-year degree from an accredited college or university.

● Three years of data engineering / AWS Architecture and security experience.

Top candidates will also have:

Proven/Strong understanding and/or experience in many of the following:-

● Experience designing Scalable AWS architecture.

● Ability to create modern data pipelines and data processing using AWS PAAS components (Glue, etc.) or open source tools (Spark, Hbase, Hive, etc.).

● Ability to develop SQL structures that support high volumes and scalability using

RDBMS such as SQL Server, MySQL, Aurora, etc.

● Ability to model and design modern data structures, SQL/NoSQL databases, Data Lakes, Cloud Data Warehouse

● Experience in creating Network Architecture for secured scalable solution.

● Experience with Message brokers such as Kinesis, Kafka, Rabbitmq, AWS SQS, AWS SNS, and Apache ActiveMQ. Hands-on experience on AWS serverless architectures such as Glue,Lamda, Redshift etc.

● Working knowledge of Load balancers, AWS shield, AWS guard, VPC, Subnets, Network gateway Route53 etc.

● Knowledge of building Disaster management systems and security logs notification system

● Knowledge of building scalable microservice architectures with AWS.

● To create a framework for monthly security checks and wide knowledge on AWS services

● Deploying software using CI/CD tools such CircleCI, Jenkins, etc.

● ML/ AI model deployment and production maintainanace experience is mandatory.

● Experience with API tools such as REST, Swagger, Postman and Assertible.

● Versioning management tools such as github, bitbucket, GitLab.

● Debugging and maintaining software in Linux or Unix platforms.

● Test driven development

● Experience building transactional databases.

● Python, PySpark programming experience .

● Must experience engineering solutions in AWS.

● Working AWS experience, AWS certification is required prior to hiring

● Working in Agile Framework/Kanban Framework

● Must demonstrate solid knowledge of computer science fundamentals like data structures & algorithms.

● Passion for technology and an eagerness to contribute to a team-oriented environment.

● Demonstrated leadership on medium to large-scale projects impacting strategic priorities.

● Bachelor’s degree in Computer science or Electrical engineering or related field is required

Lead Data Engineer

Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.

Job responsibilities

·      You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems

·      You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges

·      You will collaborate with Data Scientists in order to design scalable implementations of their models

·      You will pair to write clean and iterative code based on TDD

·      Leverage various continuous delivery practices to deploy, support and operate data pipelines

·      Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available

·      Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·      Create data models and speak to the tradeoffs of different modeling approaches

·      On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product

·      Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process

·      Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes

Job qualifications Technical skills

·      You are equally happy coding and leading a team to implement a solution

·      You have a track record of innovation and expertise in Data Engineering

·      You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations

·      You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop

·      You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting

·      Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions

·      You are comfortable taking data-driven approaches and applying data security strategy to solve business problems

·      You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments

·      Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems

Professional skills

·      Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers

·      You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives

·      An interest in coaching others, sharing your experience and knowledge with teammates

·      You enjoy influencing others and always advocate for technical excellence while being open to change when needed

Designation: business analyst

Company name - promilo.com (sawara solutions pvt ltd)

Experience – 2 - 8 yrs.

Location: Bangalore

Mode – full time / work from office

About us:

Promilo is India’s 1st innovative platform which “pay to browse”

It is a b2b SaaS start-up that enables to accelerate  the business appointment funnel of the

Companies. We’re an SaaS based advertising platform that connects both users & advertisers. Users will be able to book an online appointment based on their interests with the advertiser, without compromising their data privacy and get rewarded for sharing their data and time. We’re registered and recognized by start-up India, start-up Karnataka & MSME companies. Also, the top 100 Google AppScale academy start-up

Job description:

We are looking for an experienced business analyst to join our team. The ideal candidate will have 2-8 years of experience in web & mobile user & client data analyst for start-ups, with a strong passion to help start-ups and a proven track record to bring the strong business insight to improve the sales, marketing, user, client, ui, ux of the organisation.

Responsibilities

• Requirement gathering and analyzing
• Conduct gap analysis, assess scope & suggest solutions
• Responsible for technical proposal writing and time and cost analysis for web and mobile application development
• Preparing rfp/rfq
• Would be involved in presales activities
• Work as liaison between client and technical team
• Create wireframe | prototype | feature list | srs | brd & flow diagrams as per the client's requirement
• High it literacy proven use of web and associated technologies (excel, power point, google apps).
• Previous experience with data visualization tools (tableau, power bi, etc.), is strongly preferred.
• Cleanse and curate sourced data into standardized reporting templates
• Create, document, validate and ensure delivery of ad hoc, daily weekly, and monthly reports to internal stakeholders
• Create, validate and deliver tracking links for the marketing department
• Assist in the creation, qa, validation and reporting of a/b and multivariate tests
• Proactively monitor the marketing kpis and ua data on a daily basis
• Analyze marketing ua performance and conduct deep dive analysis to answer hypotheses and questions posed by the team
• Gather, transform, and analyze digital marketing data, including paid media, search, social, website, and conversion funnel analytics
• Analyze marketing data searching for top of funnel growth opportunities
• Analyze product data searching for insights to increase app engagement, conversion, and retention
• Analyze ltv/cac drivers to support overall business growth
• Partner with marketing, product, and growth teams
• Present findings to stakeholders and make recommendations for spend targets and campaign strategies
• Pov on ios 14 and upcoming android privacy changes and we can navigate tracking in light of these changes
• Pov on transition to skan 4.0
• Working knowledge of statistical techniques (regression, k-means clustering, pca)
• Experience with lift studies and marketing mix modeling working experience with python, r, & dbt
• Experience at a small company
• Experience with a subscription business
• Analyze website and mobile app data on traffic sources and patterns. Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance.

Qualification

• Master's or bachelor degree in computer science
• Well-versed with its technologies
• 2+ years of business analysis or project analysis experience
• Tech-savvy with proficiency in Microsoft office, google apps, and other web and mobile applications
• Excellent written and verbal communication skills
• Self-motivated, flexible, and comfortable with a fast-paced startup environment
• Advanced experience with Excel, google sheets including an understanding of visualizations, pivot tables, vlookup, and other key functions
• Experience with adobe analytics, google analytics, tableau, SQL, and data grid is a plus.
• Strong analytical and problem-solving skills, with clear attention to detail
• Ability to prioritize and work under tight deadlines
• Fast learner, able to master new concepts, theories, ideas, and processes with ease
• Experience creating user acquisition reports and dashboards
• Deep understanding of mobile attribution, cohort analysis, customer segmentation, and ltv modeling
• Experience pulling data and creating databases using an API of at least one of these ad platforms; Facebook, Snapchat, TikTok, google ads, applovin
• Experience with the architecture and deployment of mobile tracking solutions, including SDK integration, ad platforms APIs, server-postbacks, and mmp providers such as Appsflyer, adjust, kochava

If you are data driven individual with a passion for start-ups and have experience in business analytics, we encourage you to apply for this position. We offer a competitive salary package, flexible working hours, and a supportive work environment that fosters growth and development.

• Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.

• As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.

The Data Engineer would be responsible for selecting and integrating Big Data tools and frameworks required. Would implement Data Ingestion & ETL/ELT processes

Required Experience, Skills and Qualifications:

• Hands on experience on Big Data tools/technologies like Spark,  Databricks, Map Reduce, Hive, HDFS.
• Expertise and excellent understanding of big data toolset such as Sqoop, Spark-streaming, Kafka, NiFi
• Proficiency in any of the programming language: Python/ Scala/  Java with 4+ years’ experience
• Experience in Cloud infrastructures like MS Azure, Data lake etc
• Good working knowledge in NoSQL DB (Mongo, HBase, Casandra)