11+ Data steward Jobs in India

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

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 Databook:-

- Great salespeople let their customers’ strategies do the talking.

Databook’s award-winning Strategic Relationship Management (SRM) platform uses advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency.

The Opportunity

We're seeking Junior Engineers to support and develop Databook’s capabilities. Working closely with our seasoned engineers, you'll contribute to crafting new features and ensuring our platform's reliability. If you're eager about playing a part in building the future of customer intelligence, with a keen eye towards quality, we'd love to meet you!

Specifically, you'll

- Participate in various stages of the engineering lifecycle alongside our experienced engineers.

- Assist in maintaining and enhancing features of the Databook platform.

- Collaborate with various teams to comprehend requirements and aid in implementing technology solutions.

Please note: As you progress and grow with us, you might be introduced to on-call rotations to handle any platform challenges.

Working Arrangements:

- This position offers a hybrid work mode, allowing employees to work both remotely and in-office as mutually agreed upon.

What we're looking for

- 1-2+ years experience as a Data Engineer

- Bachelor's degree in Engineering

- Willingness to work across different time zones

- Ability to work independently

- Knowledge of cloud (AWS or Azure)

- Exposure to distributed systems such as Spark, Flink or Kafka

- Fundamental knowledge of data modeling and optimizations

- Minimum of one year of experience using Python working as a Software Engineer

- Knowledge of SQL (Postgres) databases would be beneficial

- Experience with building analytics dashboard

- Familiarity with RESTful APIs and/or GraphQL is welcomed

- Hand-on experience with Numpy, Pandas, SpaCY would be a plus

- Exposure or working experience on GenAI (LLMs in general), LLMOps would be a plus

- Highly fluent in both spoken and written English language

Ideal candidates will also have:

- Self-motivated with great organizational skills.

- Ability to focus on small and subtle details.

- Are willing to learn and adapt in a rapidly changing environment.

- Excellent written and oral communication skills.

Join us and enjoy these perks!

- Competitive salary with bonus

- Medical insurance coverage

- 5 weeks leave plus public holidays

- Employee referral bonus program

- Annual learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development

- Complimentary subscription to Masterclass

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

What you will do:

• Understand the process of CaaStle business teams, KPIs, and pain points
• Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
• Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
• Leverage advanced analytics to drive key success metrics for business and revenue generation
• Operationalize, implement, and automate changes to drive data-driven decisions
• Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

• Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
• Experience: 2-4 years of professional experience
• Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
• Experience in A/B testing and measure performance of experiments
• Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
• Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
• Excellent communication, social, and presentation skills with meticulous attention to detail
• Programming experience in Python, R, or other languages
• Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

• 5+ years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications
• Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
• Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• Kafka
• J2EE Frameworks (Spring/Hibernate/REST)
• Spark Streaming or any other streaming technology.
• Java programming language is mandatory.
• Good to have experience with Java
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories’ execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counterparts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

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.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Expertise of SQL/PL-SQL -ability to write procedures and create queries for reporting purpose.
• Must have worked on a reporting tool – Power BI/Tableau etc.
• Strong knowledge of excel/Google Sheets – must have worked with pivot tables, aggregate functions, logical if conditions.
• Strong verbal and written communication skills for coordination with departments.
• An analytical mind and inclination for problem-solving