Preferred Education & Experience:
•Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience.
Well-versed in and 5+ years of hands-on demonstrable experience with:
▪Data Analysis & Data Modeling
Database Design & Implementation
Database Performance Tuning & Optimization
▪PL/pgSQL & SQL
•5+ years of hands-on development experience in Relational Database (PostgreSQL/SQL
Server/Oracle).
•5+ years of hands-on development experience in SQL, PL/PgSQL, including stored procedures,
functions, triggers, and views.
Hands-on experience with demonstrable working experience in Database Design Principles, SQL
Query Optimization Techniques, Index Management, Integrity Checks, Statistics, and Isolation
levels.
Hands-on experience with demonstrable working experience in Database Read & Write
Performance Tuning & Optimization.
•Knowledge and Experience working in Domain Driven Design (DDD) Concepts, Object Oriented
Programming System (OOPS) Concepts, Cloud Architecture Concepts, NoSQL Database Concepts
are added values
•Knowledge and working experience in Oil & Gas, Financial, & Automotive Domains is a plus
Hands-on development experience in one or more NoSQL datastores such as Cassandra, HBase,
MongoDB, DynamoDB, Elastic Search, Neo4J, etc. a plus
Job Location : Pune/Remote
Work Timings : 2.30 pm-11:30 pm
Joining Period : Immediate-20 day
Subodh Popalwar
Software Engineer, Memorres
About Information Technology Services
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Proficiency in Linux.
Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
Must have experience with Python/Scala.
Must have experience with Big Data technologies like Apache Spark.
Must have experience with Apache Airflow.
Experience with data pipeline and ETL tools like AWS Glue.
Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
Lightning job by Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
About Us:
Virtualness is the first end-to-end decentralized web3 platform offering mobile-first generative AI creation, NFT minting, and marketplace tools in one place making it easy for any creator or brand to scale their business and easily capture the value-creation opportunity that blockchain presents. Built on the ethos of ’empathy at the core' Virtualness puts creators first, and is building the playbook for AI led
easy design, efficient sharing / social experiences and seamless digital commerce.
Job Description:
We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data manipulation and visualization tools, and a passion for deriving actionable insights from complex datasets. The Data Analyst will play a key role in interpreting data, identifying trends, and providing valuable recommendations to support strategic business objectives.
Key Responsibilities:
- Analyze large datasets to extract meaningful patterns, trends, and insights.
- Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) and inform decision-making processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Perform data cleansing, transformation, and validation to ensure accuracy and consistency of data.
- Conduct ad-hoc analyses to address specific business questions and provide actionable recommendations.
- Utilize statistical techniques and predictive modeling to identify opportunities for process optimization and revenue enhancement.
- Stay updated on industry trends, best practices, and emerging technologies in data analytics and contribute to continuous improvement initiatives.
- Present findings and insights to stakeholders in a clear and compelling manner through written reports and presentations.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; Master's degree preferred.
- Proven experience as a Data Analyst or similar role, with a track record of delivering actionable insights and driving business impact.
- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.
- Strong analytical skills with the ability to work with large datasets and complex data structures.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Familiarity with statistical techniques, machine learning algorithms, and data mining methods.
- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
- Strong attention to detail and problem-solving abilities.
- Ability to work effectively both independently and as part of a team in a fast-paced environment.
Preferred Qualifications:
- Experience with cloud-based platforms such as AWS, Google Cloud Platform, or Azure.
- Knowledge of advanced analytics techniques such as predictive modeling, clustering, and segmentation.
- Previous experience in the Web3 industry is a plus.
Benefits:
- Competitive salary
- Health insurance
- Flexible work hours
- ESOPS
- Opportunities for professional growth
- Access to cutting-edge technologies
- A collaborative and innovative work environment
Data Science
Machine Learning (ML)- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
Python
MongoDB● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
Python-5+ years hands on experience with penetration testing would be added plus
-Strong Knowledge of programming or scripting languages, such as Python, PowerShell, Bash
-Industry certifications like OSCP and AWS are highly desired for this role
-Well-rounded knowledge in security tools, software and processes
Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL experience
Should be an individual contributor for initial few months based on project movement team will be aligned
Strong in querying logic and data interpretation
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
MongoDBWhat we look for:
We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms.
Responsibilities:
- Work with multiple stakeholders to gather the requirements of data or analysis and take action on them.
- Write new data pipelines and maintain the existing pipelines.
- Person will be gathering data from various DB’s and will be finding the required metrics out of it.
Required Skills:
- Experience with python and Libraries like Pandas,and Numpy.
- Experience in SQL and understanding of NoSQL DB’s.
- Hands-on experience in Data engineering.
- Must have good analytical skills and knowledge of statistics.
- Understanding of Data Science concepts.
- Bachelor degree in Computer Science or related field.
- Problem-solving skills and ability to work under pressure.
Nice to have:
- Experience in MongoDB or any NoSql DB.
- Experience in ElasticSearch.
- Knowledge of Tableau, Power BI or any other visualization tool.
Role: Talend Production Support Consultant
Brief Job Description:
- Involve in release deployment and monitoring of the ETL pipelines.
- Closely work with the development team and business team to provide operational support.
- Candidate should have good knowledge and hands on experience on below tools/technologies:
Talend (Talend Studio, TAC, TMC),SAP BODS,SQL,HIVE & Azure(Azure fundamentals, ADB,ADF)
- Hands on experience in CI/CD is an added advantage.
As discussed, please provide your Linkedin ID URL & a valid ID proof of yours.
Please confirm as well, you will relocate to Bangalore once required.
Data AnalyticsPython|
About Us |
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upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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R ProgrammingData AnalyticsThe person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.
At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.
Candidates will be expected to lead projects across several areas such as
- Demand forecasting
- Inventory management
- Simulation & Mathematical optimization models.
- Procurement analytics
- Distribution/Logistics planning
- Network planning and optimization
Qualification and Experience
- 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
- Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
- Hands-on experience in delivery of projects using statistical modelling
Skills / Knowledge
- Hands on experience in statistical modelling software such as R/ Python and SQL.
- Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
- Highly proficient with Excel, PowerPoint and Word applications.
- APICS-CSCP or PMP certification will be added advantage
- Strong knowledge of supply chain management
- Working knowledge on the linear/nonlinear optimization
- Ability to structure problems through a data driven decision-making process.
- Excellent project management skills, including time and risk management and project structuring.
- Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
- Ability to liaison effectively with multiple stakeholders and functional disciplines.
- Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres