PythonJD:
Required Skills:
- Intermediate to Expert level hands-on programming using one of programming language- Java or Python or Pyspark or Scala.
- Strong practical knowledge of SQL.
Hands on experience on Spark/SparkSQL - Data Structure and Algorithms
- Hands-on experience as an individual contributor in Design, Development, Testing and Deployment of Big Data technologies based applications
- Experience in Big Data application tools, such as Hadoop, MapReduce, Spark, etc
- Experience on NoSQL Databases like HBase, etc
- Experience with Linux OS environment (Shell script, AWK, SED)
- Intermediate RDBMS skill, able to write SQL query with complex relation on top of big RDMS (100+ table)
Subodh Popalwar
Software Engineer, Memorres
About Cemtics
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Data Analyst
Job Brief:
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance
and quality control plans to identify improvements.
About Us
We began in 2015 with an entrepreneurial vision to bring a digital change in the manufacturing landscape of India. With a team of 300+ we are working towards the digital transformation of business in the manufacturing industry across domains like Footwear, Apparel, Textile, Accessories etc. We are backed by investors such as
Info Edge (Naukri.com), Matrix Partners, Sequoia, Water Bridge Ventures and select Industry leaders.
Today, we have enabled 2000+ Manufacturers to digitize their distribution channel.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that
optimize statistical efficiency and quality.
● Acquire data from primary or secondary data sources and maintain databases/data systems.
● Identify, analyze, and interpret trends or patterns in complex data sets.
● Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and
correct code problems.
● Work with management to prioritize business and information needs.
● Locate and define new process improvement opportunities.
Requirements
● Proven working experience as a Data Analyst or Business Data Analyst.
● Technical expertise regarding data models, database design development, data mining and segmentation
techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc),
programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS
etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of
information with attention to detail and accuracy.
● Adept at queries, report writing and presenting findings.
Job Location
South Delhi, New Delhi
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.
Machine Learning (ML)
Data ScienceJob Description:
The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible.
Our ideal candidate
The role would be a client facing one, hence good communication skills are a must.
The candidate should have the ability to communicate complex models and analysis in a clear and precise manner.
The candidate would be responsible for:
- Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
- Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
- Understanding the math behind algorithms and choosing one over another
- Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy
Desired technical requirements
- Proficiency with Python and the ability to write production-ready codes.
- Experience in pyspark, machine learning and deep learning
- Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
- Familiarity with SQL or other databases.
About Quadratyx:
We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.
We firmly believe in Excellence Everywhere.
Job Description
Purpose of the Job/ Role:
• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.
Key Requisites:
• Expertise in Data structures and algorithms.
• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.
• Scaling of cloud-based infrastructure.
• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.
• Led and mentored a team of data engineers.
• Hands-on experience in test-driven development (TDD).
• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.
• Good knowledge of Kafka and Spark Streaming internal architecture.
• Good knowledge of any Application Servers.
• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.
• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc.
Skills/ Competencies Required
Technical Skills
• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.
• Clear end-to-end experience in designing, programming, and implementing large software systems.
• Passion and analytical abilities to solve complex problems Soft Skills.
• Always speaking your mind freely.
• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.
• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.
Academic Qualifications & Experience Required
Required Educational Qualification & Relevant Experience
• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.
• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.
PythonMachine Learning (ML)Data ScienceJob Details:-
Designation - Data Scientist
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 5-7 years.
Package Offered:- Rs.5,00,000/- to Rs.9,00,000/- pa.
Data Scientist
Job Description:-
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)
PythonAbout Graphene
Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best
Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.
Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.
Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.
Job title: - Data Analyst
Job Description
Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines.
Responsibilities and Duties
- Managing end to end data pipeline from data source to visualization layer
- Ensure data integrity; Ability to pre-empt data errors
- Organized managing and storage of data
- Provide quality assurance of data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Troubleshooting the reporting database environment and reports.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Initiate data gathering based on data requirements
- Analyse the raw data to check if the requirement is satisfied
Qualifications and Skills
- Technologies required: Python, SQL/ No-SQL database(CosmosDB)
- Experience required 2 – 5 Years. Experience in Data Analysis using Python
• Understanding of software development life cycle
- Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI)
- Automation steps needed to transform and enrich data.
- Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.
- Excellent verbal and written communication skills
- Create, maintain and automate datasets and insightful dashboards to track core metrics and extract business insights
- Analyze large-scale structured and unstructured data to identify business opportunities and optimize features for Analytics.
- 8+ years experience doing Business Intelligence and Analytics work
- B.Tech/M.Tech in a technical field (Computer Science, Math, Statistics)
- Strong knowledge in Data Design, Data Modelling, and Data Validation best practices
- Proficient in data visualization, Preferably SSRS & Power BI
- Fluency with writing advanced SQL code
- Experience with SQL Server Administration and best practices
- Possess BFSI, Fintech Domain Knowledge
- Excellent interpersonal, cross-functional, communication, writing, and presentation skills
- Comfortable working in a fast-paced environment with the ability to be a team player
- Possess excellent Project Management and superior Team Management skills
Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.
Key functions & responsibilities:
Communication & interaction with the Project Manager to understand the requirement
Dashboard designing, development and deployment using Tableau eco-system
Ensure delivery within a given time frame while maintaining quality
Stay up to date with current tech and bring relevant ideas to the table
Proactively work with the Management team to identify and resolve issues
Performs other related duties as assigned or advised
He/she should be a leader that sets the standard and expectations through an example in
his/her conduct, work ethic, integrity and character
Contribute in dashboard designing, R&D and project delivery using Tableau
Candidate’s Profile
Academics:
Batchelor’s degree preferable in Computer science.
Master’s degree would have an added advantage.
Experience:
Overall 2-5 Years of experience in DWBI development projects, having worked on BI and
Visualization technologies (Tableau, Qlikview) for at least 2 years.
At least 2 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modelling, data blending, etc.
Technology & Skills:
Hands on expertise of Tableau administration and maintenance
Strong working knowledge and development experience with Tableau Server and Desktop
Strong knowledge in SQL, PL/SQL and Data modelling
Knowledge of databases like Microsoft SQL Server, Oracle, etc.
Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.
Good communication & Analytical skills with Excellent creative and conceptual thinking
abilities
Superior organizational skills, attention to detail/level of quality, Strong communication
skills, both verbal and written
ScalaWe are looking for a Data Engineer that will be responsible for collecting, storing, processing, and analyzing huge sets of data that is coming from different sources.
Responsibilities
Working with Big Data tools and frameworks to provide requested capabilities Identify development needs in order to improve and streamline operations Develop and manage BI solutions Implementing ETL process and Data Warehousing Monitoring performance and managing infrastructure
Skills
Proficient understanding of distributed computing principles Proficiency with Hadoop and Spark Experience with building stream-processing systems, using solutions such as Kafka and Spark-Streaming Good knowledge of Data querying tools SQL and Hive Knowledge of various ETL techniques and frameworks Experience with Python/Java/Scala (at least one) Experience with cloud services such as AWS or GCP Experience with NoSQL databases, such as DynamoDB,MongoDB will be an advantage Excellent written and verbal communication skills
Follow CutshortSubodh Popalwar
Software Engineer, Memorres