AWS Engineer (Infrastructure & Security) - Lightning Job By Cutshort⚡
at Vola Finance
Lightning Job By Cutshort⚡
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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
About Vola Finance
Vola aims to improve financial literacy and inclusion amongst the underbanked population.
Through our iOS and Android apps, users can access credit score building tools, cash advances and a personalized secured bank account.
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RESPONSIBILITIES:
Requirement understanding and elicitation, analyze, data/workflows, contribute to product
project and Proof of concept (POC)
Contribute to prepare design documents and effort estimations.
Develop AI/ML Models using best in-class ML models.
Building, testing, and deploying AI/ML solutions.
Work with Business Analysts and Product Managers to assist with defining functional user
stories.
Ensure deliverables across teams are of high quality and clearly documented.
Recommend best ML practices/Industry standards for any ML use case.
Proactively take up R and D and recommend solution options for any ML use case.
REQUIREMENTS:
Required Skills
Overall experience of 4 to 7 Years working on AI/ML framework development
Good programming knowledge in Python is must.
Good Knowledge of R and SAS is desired.
Good hands on and working knowledge SQL, Data Model, CRISP-DM.
Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.
Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,
Random Forest, Support Vector Machines and Natural Language Processing.
Experience with NLP and deep neural networks using synthetic and artificial data.
Involved in different phases of SDLC and have good working exposure on different SLDC’s like
Agile Methodologies.
Company Profile :
Merilytics, an Accordion company is a fast-growing analytics firm offering advanced a and intelligent analytical solutions to clients globally. We combine domain expertise, advanced analytics, and technology to provide robust solutions for clients' business problems. You can find further details about the company at https://merilytics.com.
We partner with our clients in Private Equity, CPG, Retail, Healthcare, Media & Entertainment, Technology, Logistics industries etc. by providing analytical solutions to generate superior returns. We solve clients' business problems by analyzing large amount of data to help guide their Operations, Marketing, Pricing, Customer Strategies, and much more.
Position :
- Business Associate at Merilytics will be working on complex analytical projects and is the primary owner of the work streams involved.
- The Business Associates are expected to lead the team of Business Analysts to deliver robust analytical solutions consistently and mentor the Analysts for professional development.
Location : Hyderabad
Roles and Responsibilities :
The roles and responsibilities of a Business Associate will include the below:
- Proactively provide thought leadership to the team and have complete control on the delivery process of the project.
- Understand the client's point of view and translate it into sound judgment calls in ambiguous analytical situations.
- Highlight potential analytical issues upfront and resolve them independently.
- Synthesizes the analysis and derives insights independently.
- Identify the crux of the client problem and leverage it to draw relevant actionable insights from the analysis/work.
- Ability to manage multiple Analysts and provide customized guidance for individual development.
- Resonate with our five core values - Client First, Excellence, Integrity, Respect and Teamwork.
Pre-requisites and skillsets required to apply for this role :
- Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.
- Should have 2-4 years of experience.
- Strong leadership & proactive communication to coordinate with the project team and other internal stakeholders.
- Ability to use business judgement and a structured approach towards solving complex problems.
- Experience in client-facing/professional services environment is a plus.
- Strong hard skills on analytics tools such as R, Python, SQL, and Excel is a plus.
Why Explore a Career at Merilytics :
- High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.
- Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.
- Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.
- Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.
Other benefits for full time employees:
(i) Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor's consultations, counselors, etc.
(ii) Corporate Meal card options for ease of use and tax benefits.
(iii) Work dinners, team lunches, company sponsored team outings and celebrations.
(iv) Reimbursement support for travel to the office, as and when promulgated by the Company.
(v) Cab reimbursement for women employees beyond a certain time of the day.
(vi) Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.
(vii) Reward and recognition platform to celebrate professional and personal milestones.
(viii) A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.
Skills
- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
applied research.
● Understand, apply and extend state-of-the-art NLP research to better serve our customers.
● Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models.
● Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
● Think creatively to identify new opportunities and contribute to high-quality publications or patents.
Desired Qualifications and Experience
● At Least 1 year of professional experience.
● Bachelors in Computer Science or related fields from the top colleges.
● Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval.
● Experience applying ML to solve complex business problems from scratch.
● Experience with Python and a deep learning framework like Pytorch/Tensorflow.
● Awareness of the state of the art research in the NLP community.
● Excellent verbal and written communication and presentation skills.
- 6+ months of proven experience as a Data Scientist or Data Analyst
- Understanding of machine-learning and operations research
- Extensive knowledge of R, SQL and Excel
- Analytical mind and business acumen
- Strong Statistical understanding
- Problem-solving aptitude
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
To be considered as a candidate for a Senior Data Engineer position, a person must have a proven track record of architecting data solutions on current and advanced technical platforms. They must have leadership abilities to lead a team providing data centric solutions with best practices and modern technologies in mind. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to research and provide appropriate guidance for synthesizing complex information and extract business value. Have the intellectual curiosity and ability to deliver solutions with creativity and quality. Effectively work with business and customers to obtain business value for the requested work. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work with innovation both independently and collaboratively.