Data Engineer

Profile : Executive Export & Import

Location - Andheri East

Salary - 4 LPA

Experience working in apparel export house

Role Description

Key Responsibilities –

• Preparing custom invoice, packing list.

 Pre-shipment and post shipment documentation with LC documents & n

• Export Draft Entry In VG Shipment
• Follow-up with factory, Job workers, Q.C. Department and transporters
• Follow-up with CHA, Shipping Company, Air Lines
• Negotiation of documents with Banks.
• Keep a record of incentives claimed and unclaimed details and inform the Management weekly, bye-weekly and monthly basis.
• Keep record of today invoicing and collection of E.P. Copies and BRC’s from Customs and Bank respectively.
• To prepare a weekly statement of export details and give it to the management.

• Imports Documentation :
• Fabric import against License
• License application
• Closing license documents submission to consultant & follow up

We are looking for a 2 to 3 years experienced Python Developer to join our team. As a part of our Technology/Solutions leadership team, you will be directly working with Product Engineering team in Designing the crawling algorithm from social media.

Skills: Python, Web crawling, Web scraping, Beautiful Soup, Snowflake, Scrapy

- Develop customised tools to automate critical business functions and meet project objectives, requirements and company goals

- Interact with manager as necessary to analyse project objectives and capability requirements

- Use skills in python and selenium to design and deploy automated tools

- Understand client databases and manage data and databases for internal reporting purposes

- Build solutions to source data from a variety of enterprise sources and/or external data sources to create complex competitive intelligence reports.
- Should be good at communication, writing and presentation skills and crawler domain knowledge and development experience is a must. 

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Who are we and what do we do?

The Dice platform, one of the most advanced SaaS fintech organizations, helps businesses convert their spending from many fragmented applications, prepaid cards, offline reimbursement/invoice management, procurement, and payment systems to a single spend platform. There will be no more cash, cards, refunds, or offline invoicing since our entire goal is to provide businesses more knowledge and control over how they spend their money, resulting in significant cost savings and profitability. We are a hyper growth startup collaborating with premium Indian enterprises, startups, and industry leaders across disciplines.

Perks in store for you when you join the team:

• You'll be surrounded by passionate team members.
• Your work will have a visible impact.
• You will be working on interesting technical challenges in a fast-paced environment.

Requirements and skills:

• Hands-on Software Development experience.
• 2-4 years of relevant experience in Java development.
• Hands-on experience in designing and developing applications using Java EE platforms.
• Object-Oriented Analysis and design using common design patterns.
• Profound insight of Java and Java EE (Multithreading, Reactive Programming, etc)
• Excellent knowledge of Relational Databases, SQL, and ORM technologies (MySQL, EBean)
• Excellent knowledge in RESTful API development, event-based processing.
• Experience with test-driven development.
• Knowledge of GIT, Linux, Docker, Redis

Responsibilities:

• Designing, implementing, and maintaining Java applications that are often high-volume and low-latency, required for mission-critical systems
• Delivering high availability and performance
• Contributing in all phases of the development lifecycle
• Writing well-designed, efficient, and testable code
• Conducting software analysis, programming, testing, and debugging
• Managing Java and Java EE application development
• Ensuring designs comply with specifications
• Preparing and producing releases of software components
• Transforming requirements into stipulations
• Support continuous improvement
• Investigating alternatives and technologies

Location:

Pune

• Knowledge of Handling goods documentation as per GST law
• Invoice, GST, Ewaybill, HSN code
• Have Average communication skills - English (Vocal and Written)
• Basic computer skills in windows office especially word and excel
• Responsible attitude towards work ethics
• A quick learner, flexible and adaptable
• Able to work in rotational shifts, i.eespecially night shifts, 

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists