About Qvantel Software Solutions Ltd
Similar jobs
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Senior Data Engineer
at InnovAccer
We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.
In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that
- Has healthcare experience and is passionate about helping heal people,
- Loves working with data,
- Has an obsessive focus on data quality,
- Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
- Has strong data interrogation and analysis skills,
- Defaults to written communication and delivers clean documentation, and,
- Enjoys working with customers and problem solving for them.
A day in the life at Innovaccer:
- Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
- Measure and communicate impact to our customers.
- Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.
What You Need:
- 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
- Intermediate to advanced level SQL programming skills.
- Data Analytics and Visualization (using tools like PowerBI)
- The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
- Ability to work in a fast-paced and agile environment.
- Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.
What we offer:
- Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
- Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
- Health benefits: We cover health insurance for you and your loved ones.
- Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
- Pet-friendly office and open floor plan: No boring cubicles.
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.
* Formulates and recommends standards for achieving maximum performance
and efficiency of the DW ecosystem.
* Participates in the Pre-sales activities for solutions of various customer
problem-statement/situations.
* Develop business cases and ROI for the customer/clients.
* Interview stakeholders and develop BI roadmap for success given project
prioritization
* Evangelize self-service BI and visual discovery while helping to automate any
manual process at the client site.
* Work closely with the Engineering Manager to ensure prioritization of
customer deliverables.
* Champion data quality, integrity, and reliability throughout the organization by
designing and promoting best practices.
*Implementation 20%
* Help DW/DE team members with issues needing technical expertise or
complex systems and/or programming knowledge.
* Provide on-the-job training for new or less experienced team members.
* Develop a technical excellence team
Requirements
- experience designing business intelligence solutions
- experience with ETL Process, Data warehouse architecture
- experience with Azure Data services i.e., ADF, ADLS Gen 2, Azure SQL dB,
Synapse, Azure Databricks, and Power BI
- Good analytical and problem-solving skills
- Fluent in relational database concepts and flat file processing concepts
- Must be knowledgeable in software development lifecycles/methodologies
Data Engineer
Skillsets-Azure, Olap, Etl, sql, python, c#
exp range - 3+ to 4 years
salary-best in industry
notice period - Currently serving notice period (Immediate joiners are preferred)
location- remote work
job type -permanent role
it is full time and totally remote based
Note: For the interview 3 rounds are there -technical round, manager/client round, hr round
Why work with us?
Responsibilities:
- Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
- Lead the development of standard and customized reporting, dashboards, and analysis of information
- Lead the development of tools, methodologies, and statistical
- Provide hands-on development and support in creating and launching various tools and reporting
- Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder
- Works with various data owners to discover and select available data from internal sources to fulfill analytical needs
- Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
- Uses the appropriate algorithms to discover
- Works independently on a range of complex tasks, which may include unique
Qualifications, Skills & Competencies:
- Post Secondary Degree – Computer Science, Information Technology or other relevant degrees with curriculum related to data structures and analysis
- Minimum 5 years of experience as an analyst
- Minimum 5 years of knowledge of business intelligence tools and programming languages
- Advance skills in data analysis and profiling, data mapping, data modeling, data lakes, and analytics
- Data Analytics: AWS Quicksight and Redshift
- Data Migration: solid in SQL and ETL
- Scripting and Integration: REST APIs, GraphQL, Nodejs, AWS Lambda/API Gateway
- Experience working with data mining and performing quantitative analysis
- Experience with Machine Learning algorithms and associated data sets
- Business acumen results-oriented
- Proactive/takes initiative/self-starter
- Excellent written and oral communication skills
- Ability to create, coordinate and facilitate presentations
- Time management, highly organized
- Collaboration and Team Engagement
- Analytical and Problem Solving
- Data-driven/Metrics Driven
Primary Skills
6 to 8 years of relevant work experience in ETL tools
Good knowledge working in AWS Cloud Data Bases like Aurora DB and ecosystem and tools (AWS DMS)
Migrating databases to AWS Cloud would be Mandatory
Sound knowledge of SQL and procedural language.
Possess solid experience of writing complex SQL queries and optimizing SQL query performance
Knowledge of data ingestion one-off feed, change data capture, incremental batch
Additional Skills :
Experience in Unix/Linux systems and writing shell scripts would be nice to have
Java knowledge would be an added advantage
Knowledge in Spark Python for building ETL pipelines on cloud would be preferable
Snowflake Developer
at Our Client company is into Computer Software. (EC1)
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Author data services using a variety of programming languages
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Datawarehouse as well as SQL and Azure ‘big data’ technologies
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Work in an Agile environment with Scrum teams.
- Ensure data quality and help in achieving data governance.
Basic Qualifications
- 3+ years of experience in a Data Engineer or Software Engineer role
- Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience using the following software/tools:
- Experience with “Snowflake Cloud Datawarehouse”
- Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
- Experience with data pipeline and workflow management tools
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
- Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience supporting and working with cross-functional teams in a dynamic environment.
If you are an outstanding ETL Developer with a passion for technology and looking forward to being part of a great development organization, we would love to hear from you. We are offering technology consultancy services to our Fortune 500 customers with a primary focus on digital technologies. Our customers are looking for top-tier talents in the industry and willing to compensate based on your skill and expertise. The nature of our engagement is Contract in most cases. If you are looking for the next big step in your career, we are glad to partner with you.
Below is the job description for your review.
Extensive hands- on experience in designing and developing ETL packages using SSIS
Extensive experience in performance tuning of SSIS packages
In- depth knowledge of data warehousing concepts and ETL systems, relational databases like SQL Server 2012/ 2014.
Talend Developer
ETL Developer – Talend
Job Duties:
- ETL Developer is responsible for Design and Development of ETL Jobs which follow standards,
best practices and are maintainable, modular and reusable.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- ETL Developer will analyze and review complex object and data models and the metadata
repository in order to structure the processes and data for better management and efficient
access.
- Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time.
- Training and mentoring Junior Analysts and building their proficiency in the ETL process.
- Preparing mapping document to extract, transform, and load data ensuring compatibility with
all tables and requirement specifications.
- Experience in ETL system design and development with Talend / Pentaho PDI is essential.
- Create quality rules in Talend.
- Tune Talend / Pentaho jobs for performance optimization.
- Write relational(sql) and multidimensional(mdx) database queries.
- Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers &
Load balancing setup, and all its administrative functions.
- Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes,
dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,
and analytical models.
- Exposure in Map Reduce components of Talend / Pentaho PDI.
- Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and
maintenance.
- Working knowledge of relational database theory and dimensional database models.
- Creating and deploying Talend / Pentaho custom components is an add-on advantage.
- Nice to have java knowledge.
Skills and Qualification:
- BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject.
- Having an experience of 3+ years.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- Ability to work independently.
- Ability to handle a team.
- Good written and oral communication skills.
