Senior Data Engineer (freelance)

Bachelor Degree in a quantitative field (i.e. Mathematics, Statistics, Computer
Science)
Have 2 to 6 years of experience working in a similar role in a startup environment
SQL and Excel have no secrets for you
You love visualizing data with Tableau
Any experience with product analytics tools (Mixpanel, Clevertap) is a plus
You solve math puzzles for fun
A strong analytical mindset with a problem-solving attitude
Comfortable with being critical and speaking your mind
You can easily switch between coding (R or Python) and having a business
discussion
Be a team player who thrives in a fast-paced and constantly changing environment

What you will do

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

You should be

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

Qualifications

• You're proficient in AI/Machine learning latest technologies  
• You're proficient in GPT-3 based algorithms 
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

Responsibilities

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

Current Ecosystem : 
ShibaSwap : https://shibaswap.com/#/" target="_blank">https://shibaswap.com/#/
Metaverse : https://shib.io/#/" target="_blank">https://shib.io/#/
NFTs : https://opensea.io/collection/theshiboshis" target="_blank">https://opensea.io/collection/theshiboshis
Game : Shiba Eternity on iOS and Android

Required Experience

· 3+ years of relevant technical experience as a data analyst role

· Intermediate / expert skills with SQL and basic statistics

· Experience in Advance SQL

· Python programming- Added advantage

· Strong problem solving and structuring skills

· Automation in connecting various sources to the data and representing it through various dashboards

· Excellent with Numbers and communicate data points through various reports/templates

· Ability to communicate effectively internally and outside Data Analytics team

· Proactively take up work responsibilities and take adhocs as and when needed

· Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable

· Strong technical communication skills; both written and verbal

· Ability to understand and articulate the "big picture" and simplify complex ideas

· Ability to identify and learn applicable new techniques independently as needed

· Must have worked with various Databases (Relational and Non-Relational) and ETL processes

· Must have experience in handling large volume and data and adhere to optimization and performance standards

· Should have the ability to analyse and provide relationship views of the data from different angles

· Must have excellent Communication skills (written and oral).

· Knowing Data Science is an added advantage

Required Skills

MYSQL, Advanced Excel, Tableau, Reporting and dashboards, MS office, VBA, Analytical skills

Preferred Experience

· Strong understanding of relational database MY SQL etc.

· Prior experience working remotely full-time

· Prior Experience working in Advance SQL

· Experience with one or more BI tools, such as Superset, Tableau etc.

· High level of logical and mathematical ability in Problem Solving

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.

We are looking for a skilled Senior/Lead Bigdata Engineer to join our team. The role is part of the research and development team, where you with enthusiasm and knowledge are going to be our technical evangelist for the development of our inspection technology and products.

 

At Elop we are developing product lines for sustainable infrastructure management using our own patented technology for ultrasound scanners and combine this with other sources to see holistic overview of the concrete structure. At Elop we will provide you with world-class colleagues highly motivated to position the company as an international standard of structural health monitoring. With the right character you will be professionally challenged and developed.

This position requires travel to Norway.

 

Elop is sister company of Simplifai and co-located together in all geographic locations.

https://elop.no/

https://www.simplifai.ai/en/

Roles and Responsibilities

• Define technical scope and objectives through research and participation in requirements gathering and definition of processes
• Ingest and Process data from data sources (Elop Scanner) in raw format into Big Data ecosystem
• Realtime data feed processing using Big Data ecosystem
• Design, review, implement and optimize data transformation processes in Big Data ecosystem
• Test and prototype new data integration/processing tools, techniques and methodologies
• Conversion of MATLAB code into Python/C/C++.
• Participate in overall test planning for the application integrations, functional areas and projects.
• Work with cross functional teams in an Agile/Scrum environment to ensure a quality product is delivered.

Desired Candidate Profile

• Bachelor's degree in Statistics, Computer or equivalent
• 7+ years of experience in Big Data ecosystem, especially Spark, Kafka, Hadoop, HBase.
• 7+ years of hands-on experience in Python/Scala is a must.
• Experience in architecting the big data application is needed.
• Excellent analytical and problem solving skills
• Strong understanding of data analytics and data visualization, and must be able to help development team with visualization of data.
• Experience with signal processing is plus.
• Experience in working on client server architecture is plus.
• Knowledge about database technologies like RDBMS, Graph DB, Document DB, Apache Cassandra, OpenTSDB
• Good communication skills, written and oral, in English

We can Offer

• An everyday life with exciting and challenging tasks with the development of socially beneficial solutions
• Be a part of companys research and Development team to create unique and innovative products
• Colleagues with world-class expertise, and an organization that has ambitions and is highly motivated to position the company as an international player in maintenance support and monitoring of critical infrastructure!
• Good working environment with skilled and committed colleagues an organization with short decision paths.
• Professional challenges and development

We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.

 

We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.

 

Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!

 

Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc. 

 

Key Responsibilities

• Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality

• Work with the Office of the CTO as an active member of our architecture guild

• Writing pipelines to consume the data from multiple sources

• Writing a data transformation layer using DBT to transform millions of data into data warehouses.

• Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities

• Identify downstream implications of data loads/migration (e.g., data quality, regulatory)

 

What To Bring

• 5+ years of software development experience, a startup experience is a plus.

• Past experience of working with Airflow and DBT is preferred

• 5+ years of experience working in any backend programming language. 

• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL

• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)

• Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects

• Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure

• Basic understanding of Kubernetes & docker is a must.

• Experience in data processing (ETL, ELT) and/or cloud-based platforms

• Working proficiency and communication skills in verbal and written English.

 

Roles and Responsibilities

● Working on an awesome AI product for the eCommerce domain.
● Build the next-generation information extraction, computer vision product powered
by state-of-the-art AI and Deep Learning techniques.
● Work with an international top-notch engineering team with full commitment to
Machine Learning development.

Desired Candidate Profile

● Passionate about search & AI technologies. Open to collaborating with colleagues &
external contributors.
● Good understanding of the mainstream deep learning models from multiple domains:
computer vision, NLP, reinforcement learning, model optimization, etc.
● Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet,
BERT. Able to implement the latest DL model using existing API, open-source libraries
in a short time.
● Hands-on experience with the Cloud-Native techniques. Good understanding of web
services and modern software technologies.
● Maintained/contributed machine learning projects, familiar with the agile software
development process, CICD workflow, ticket management, code-review, version
control, etc.
● Skilled in the following programming languages: Python 3.
● Good English skills especially for writing and reading documentation

Job Title: Software Developer – Big Data Responsibilities We are looking for a Big Data Developer who can drive innovation and take ownership and deliver results. • Understand business requirements from stakeholders • Build & own Mintifi Big Data applications • Be heavily involved in every step of the product development process, from ideation to implementation to release. • Design and build systems with automated instrumentation and monitoring • Write unit & integration tests • Collaborate with cross functional teams to validate and get feedback on the efficacy of results created by the big data applications. Use the feedback to improve the business logic • Proactive approach to turn ambiguous problem spaces into clear design solutions. Qualifications • Hands-on programming skills in Apache Spark using Java or Scala • Good understanding about Data Structures and Algorithms • Good understanding about relational and non-relational database concepts (MySQL, Hadoop, MongoDB) • Experience in Hadoop ecosystem components like YARN, Zookeeper would be a strong plus

Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.