11+ Ab Initio Jobs in India

We are looking for a Senior Database Developer to provide a senior-level contribution to design, develop and implement critical business enterprise applications for marketing systems 

1. Play a lead role in developing, deploying and managing our databases (Oracle, My SQL and Mongo) on Public Clouds.
2. Design and develop PL/SQL processes to perform complex ETL processes. 
3. Develop UNIX and Perl scripts for data auditing and automation. 
4. Responsible for database builds and change requests.
5. Holistically define the overall reference architecture and manage its overall implementation in the production systems.
6. Identify architecture gaps that can improve availability, performance and security for both productions systems and database systems and works towards resolving those issues.
7. Work closely with Engineering, Architecture, Business and Operations teams to provide necessary and continuous feedback.

1. Automate all the manual steps for the database platform.
2. Deliver solutions for access management, availability, security, replication and patching.
3. Troubleshoot application database performance issues.
4. Participate in daily huddles (30 min.) to collaborate with onshore and offshore teams.

Qualifications: 

1. 5+ years of experience in database development.
2. Bachelor’s degree in Computer Science, Computer Engineering, Math, or similar.
3. Experience using ETL tools (Talend or Ab Initio a plus).
4. Experience with relational database programming, processing and tuning (Oracle, PL/SQL, My SQL, MS SQL Server, SQL, TSQL).
5. Familiarity with BI tools (Cognos, Tableau, etc.).
6. Experience with Cloud technology (AWS, etc.).
7. Agile or Waterfall methodology experience preferred.
8. Experience with API integration.
9. Advanced software development and scripting skills for use in automation and interfacing with databases.
10. Knowledge of software development lifecycles and methodologies.
11. Knowledge of developing procedures, packages and functions in a DW environment.
12. Knowledge of UNIX, Linux and Service Oriented Architecture (SOA).
13. Ability to multi-task, to work under pressure, and think analytically.
14. Ability to work with minimal supervision and meet deadlines.
15. Ability to write technical specifications and documents.
16. Ability to communicate effectively with individuals at all levels in the company and with various business contacts outside of the company in an articulate, professional manner.
17. Knowledge of CDP, CRM, MDM and Business Intelligence is a plus.
18. Flexible work hours.

This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.

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

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

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.

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.

• 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
  • https://resources.workable.com/data-scientist-analysis-interview-questions">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 https://resources.workable.com/analytical-skills-interview-questions">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
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics