11+ Data steward Jobs in Bangalore (Bengaluru) | Data steward Job openings in Bangalore (Bengaluru)
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- 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
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
Leading StartUp Focused On Employee Growth
● Knowledge of Excel,SQL and writing code in python.
● Experience with Reporting and Business Intelligence tools like Tableau, Metabase.
● Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
● Experience with Clevertap, Mixpanel, Amplitude, etc.
● Excellent communication skills.
● Background in market research and project management.
● Attention to detail.
● Problem-solving aptitude.
Top Management Consulting Company
We are looking out for a technically driven "Full-Stack Engineer" for one of our premium client
COMPANY DESCRIPTION:
Qualifications
• Bachelor's degree in computer science or related field; Master's degree is a plus
• 3+ years of relevant work experience
• Meaningful experience with at least two of the following technologies: Python, Scala, Java
• Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL is very
much expected
• Commercial client-facing project experience is helpful, including working in close-knit teams
• Ability to work across structured, semi-structured, and unstructured data, extracting information and
identifying linkages across disparate data sets
• Confirmed ability in clearly communicating complex solutions
• Understandings on Information Security principles to ensure compliant handling and management of
client data
• Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
• Extraordinary attention to detail
engineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!
Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
Position: ETL Developer
Location: Mumbai
Exp.Level: 4+ Yrs
Required Skills:
* Strong scripting knowledge such as: Python and Shell
* Strong relational database skills especially with DB2/Sybase
* Create high quality and optimized stored procedures and queries
* Strong with scripting language such as Python and Unix / K-Shell
* Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.
* Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.
* Experienced in Agile development process
* Java Knowledge is a big plus but not essential
* Experience in delivery of metrics / reporting in an enterprise environment (e.g. demonstrated experience in BI tools such as Business Objects, Tableau, report design & delivery) is a plus
* Experience on ETL processes and tools such as Informatica is a plus. Real time message processing experience is a big plus.
* Good team player; Integrity & ownership
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
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)
- Banking Domain
- Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
- Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
- Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
- Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
- Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
- Keen interest to learn new technologies and latest developments and apply them to projects assigned.
Desired Skills |
- Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist.
- This is primarily a programming/development-
oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important. - Strong foundational knowledge and professional experience in
- Machine learning, (Compulsory)
- Deep Learning (Compulsory)
- Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
- Understanding of Database technologies and SQL. (Compulsory)
- Knowledge of the following Frameworks:
- Scikit-learn (Compulsory)
- Keras/tensorflow/pytorch (At least one of these is Compulsory)
- API development in python for ML models (good to have)
- Excellent communication skills.
- Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.
- Hence communication skills will be a key consideration in the selection process.
● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).