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Indium Software is a niche technology solutions company with deep expertise in Digital , QA and Gaming. Indium helps customers in their Digital Transformation journey through a gamut of solutions that enhance business value.
With over 1000+ associates globally, Indium operates through offices in the US, UK and India
Visit http://www.indiumsoftware.com">www.indiumsoftware.com to know more.
Job Title: Analytics Data Engineer
What will you do:
The Data Engineer must be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities. The position of the Data Engineer also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
We ask:
Extensive Experience with SQL and strong ability to process and analyse complex data
The candidate should also have an ability to design, build, and maintain the business’s ETL pipeline and data warehouse The candidate will also demonstrate expertise in data modelling and query performance tuning on SQL Server
Proficiency with analytics experience, especially funnel analysis, and have worked on analytical tools like Mixpanel, Amplitude, Thoughtspot, Google Analytics, and similar tools.
Should work on tools and frameworks required for building efficient and scalable data pipelines
Excellent at communicating and articulating ideas and an ability to influence others as well as drive towards a better solution continuously.
Experience working in python, Hive queries, spark, pysaprk, sparkSQL, presto
- Relate Metrics to product
- Programmatic Thinking
- Edge cases
- Good Communication
- Product functionality understanding
Perks & Benefits:
A dynamic, creative & intelligent team they will make you love being at work.
Autonomous and hands-on role to make an impact you will be joining at an exciting time of growth!
Flexible work hours and Attractive pay package and perks
An inclusive work environment that lets you work in the way that works best for you!
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About Indium Software
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Your Day-to-Day
- Assist our Growth Strategists in analyzing the results of A/B experiments.
- Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
- Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
- Building statistical experimentation templates for faster A/B outputs
- Work on forecasting models and assisting senior Management in creating frameworks on growth models
- Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
- Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.
- Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.
Your Know-Know
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
- Preferred knowledge of statistical computer languages (Python / R, etc).
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
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
It's regarding a permanent opening with Data Semantics
Data Semantics
We are Product base company and Microsoft Gold Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
MSBI
SSAS
SSRS
SSIS
Datawarehousing
SQL
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Hiring - Python Developer Freelance Consultant (WFH-Remote)
Greetings from Deltacubes Technology!!
Skillset Required:
Python
Pyspark
AWS
Scala
Experience:
5+ years
Thanks
Bavithra
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About Kloud9:
Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.
Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.
At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.
Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.
We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.
● Overall 8+ Years of Experience in Web Application development.
● 5+ Years of development experience with JAVA8 , Springboot, Microservices and middleware
● 3+ Years of Designing Middleware using Node JS platform.
● good to have 2+ Years of Experience in using NodeJS along with AWS Serverless platform.
● Good Experience with Javascript / TypeScript, Event Loops, ExpressJS, GraphQL, SQL DB (MySQLDB), NoSQL DB(MongoDB) and YAML templates.
● Good Experience with TDD Driven Development and Automated Unit Testing.
● Good Experience with exposing and consuming Rest APIs in Java 8, Springboot platform and Swagger API contracts.
● Good Experience in building NodeJS middleware performing Transformations, Routing, Aggregation, Orchestration and Authentication(JWT/OAUTH).
● Experience supporting and working with cross-functional teams in a dynamic environment.
● Experience working in Agile Scrum Methodology.
● Very good Problem-Solving Skills.
● Very good learner and passion for technology.
● Excellent verbal and written communication skills in English
● Ability to communicate effectively with team members and business stakeholders
Secondary Skill Requirements:
● Experience working with any of Loopback, NestJS, Hapi.JS, Sails.JS, Passport.JS
Why Explore a Career at Kloud9:
With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.
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Responsibilities:
* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.
* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries
* Languages: Python
* Good communicator, shows initiative, works well with stakeholders.
* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.
* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL
* Solid communication and articulation skills
* Able to handle stakeholders independently with less interventions of reporting manager.
* Develop strategies to solve problems in logical yet creative ways.
* Create custom reports and presentations accompanied by strong data visualization and storytelling
We would be excited if you have:
* Excellent communication and interpersonal skills
* Ability to meet deadlines and manage project delivery
* Excellent report-writing and presentation skills
* Critical thinking and problem-solving capabilities
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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
Work days- Sun-Thu
Day shift
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- Expecting a minimum of 2-4 years of relevant experience
- You will be managing a team of 3 currently
- Take up the ownership of developing and managing one of the largest and richest food (recipe, menu, and CPG) databases
- Interactions with cross-functional teams (Business, Food Science, Product, and Tech) on a regular basis to pan the future of client and internal food data management
- Should have a natural flair for playing with numbers and data and have a keen eye for detail and quality
- Will spearhead the Ops team in achieving the targets while maintaining a staunch attentiveness to Coverage, Completeness, and Quality of the data
- Shall program and manage projects while identifying opportunities to optimize costs and processes.
- Good business acumen, in creating logic & process flows, quick and smart decision-making skills are expected
- Will also be responsible for the recruitment, induction and training new members as well
- Setting competitive team targets. Guide and support the team members to go the extra mile and achieve set targets
Added Advantages :
- Experience in a Food Sector / Insights company
- Has a passion for exploring different cuisines
- Understands industry-related jargons and has a natural flair towards learning more about anything related to food
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