Solution Architect/Technology Lead – Data Analytics-Mumbai
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.
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Quant Research, TIFIN
Mumbai, India
WHO WE ARE:
TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.
We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.
In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.
OUR VALUES: Go with your GUT
● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
● Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
● I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.
WHAT YOU'LL BE DOING:
We are looking for an experienced quantitative professional to develop, implement, test, and maintain the core algorithms and R&D framework for our Investment and investment advisory platform. The ideal candidate for this role has successfully implemented and maintained quantitative and statistical modules using modular software design constructs. The candidate needs to be a responsible product owner, a problem solver and a team player looking to make a significant impact on a fast-growing company. The successful candidate will directly report to the Head of Quant Research & Development.
RESPONSIBILITIES:
- The end-to-end research, development, and maintenance of investment platform, data and algorithms
- Take part in building out the R&D back testing and simulation engines
- Thoroughly vet investment algorithmic results
- Contribute to the research data platform design
- Investigate datasets for use in new or existing algorithms
- Participate in agile development practices
- Liaise with stakeholders to gather & understand the functional requirements
- Take part in code reviews ensuring quality meets highest level of standards
- Develop software using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
- Support research innovation through the creative and aggressive experimentation of cutting-edge hardware, software, processes, procedures, and methods
- Collaborate with technology teams to ensure appropriate requirements, standards, and integration
REQUIREMENTS:
- Experience in a quant research & development role
- Proficient in Python, Git and Jira
- Knowledge in SQL and database development (PostgreSQL is a plus)
- Understanding of R and RMarkdown is a plus
- Bachelor’s degree in computer science, computational mathematics, or financial engineering
- Master’s degree or advanced training is a strong plus
- Excellent mathematical foundation and hands-on experience working in the finance industry
- Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
- Strong communication (written and oral) and analytical problem-solving skills
- Strong sense of attention to detail, pride in delivering high quality work and willingness to learn
- An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)
BENEFITS PACKAGE:
TIFIN offers a competitive benefits package that includes:
· Performance-linked variable compensation.
· Medical insurance
· Tax saving benefits
· Flexible PTO policy and Company-paid holidays
· Parental Leave: 6 month paid maternity, 2 week paid paternity leave
· Access to our Wellness trainers, including 1:1 personal coaching
for executives and rising stars
A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore,this role is based out of Mumbai.
TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
RESPONSIBILITIES:
Requirement understanding and elicitation, analyze, data/workflows, contribute to product
project and Proof of concept (POC)
Contribute to prepare design documents and effort estimations.
Develop AI/ML Models using best in-class ML models.
Building, testing, and deploying AI/ML solutions.
Work with Business Analysts and Product Managers to assist with defining functional user
stories.
Ensure deliverables across teams are of high quality and clearly documented.
Recommend best ML practices/Industry standards for any ML use case.
Proactively take up R and D and recommend solution options for any ML use case.
REQUIREMENTS:
Required Skills
Overall experience of 4 to 7 Years working on AI/ML framework development
Good programming knowledge in Python is must.
Good Knowledge of R and SAS is desired.
Good hands on and working knowledge SQL, Data Model, CRISP-DM.
Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.
Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,
Random Forest, Support Vector Machines and Natural Language Processing.
Experience with NLP and deep neural networks using synthetic and artificial data.
Involved in different phases of SDLC and have good working exposure on different SLDC’s like
Agile Methodologies.
Internshala is a dot com business with the heart of dot org.
We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.
At Internshala, we are making this dream a reality!
👩🏻💻 Your responsibilities would include-
- Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
- Developing analytical tools and programs that can help in Analyzing and organizing raw data
- Evaluating business needs and objectives
- Conducting complex data analysis and report on results
- Collaborating with data scientists and architects on several projects
- Maintaining reliability of the system and being on-call for mission-critical systems
- Performing infrastructure cost analysis and optimization
- Generating architecture recommendations and the ability to implement them
- Designing, building, and maintaining data architecture and warehousing using AWS services.
- ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
- Disaster recovery planning and implementation when it comes to ETL and data-related services
- Define actionable KPIs and configure monitoring/alerting
🍒 You will get-
- A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
- Awesome colleagues & a great work environment
- Loads of autonomy and freedom in your work
💯 You fit the bill if-
- You have the zeal to build something from scratch
- You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
- You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
- You have 3-5 years of experience as a Data Engineer or similar software engineering role
Experience in developing lambda functions with AWS Lambda
Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
Should be able to code in Python and Scala.
Snowflake experience will be a plus
- 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
- Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
- Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
- Comfortable working with deep-learning libraries (eg. PyTorch)
- Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
- A Masters candidate in machine learning.
- Can source candidates from Mu Sigma and Manthan.
Job Description
-
Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.
-
Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.
-
Execute large-scale projects - Provide technical leadership in architecting and building product solutions.
-
Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.
-
Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.
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Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.
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Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.
Qualifications
• 15+ years of relevant engineering experience.
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Proven record of building and productionizing highly reliable products at scale.
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Experience with Java and Python
-
Experience with the Big Data technologie is a plus.
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Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision
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Can collaborate well with several other engineering orgs to articulate requirements and system design
Additional Information
Professional Attributes:
• Team player!
• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.
• Excellent written and verbal communication skills, including the ability to write detailed technical documents.
• Passionate about helping teams grow by inspiring and mentoring engineers.
Role :
- Understand and translate statistics and analytics to address business problems
- Responsible for helping in data preparation and data pull, which is the first step in machine learning
- Should be able to do cut and slice data to extract interesting insights from the data
- Model development for better customer engagement and retention
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Working on strategy development to increase business revenue
Requirements:
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Statistics: Strong knowledge of statistics
- Should able to do data scraping & Data mining
- Be self-driven, and show ability to deliver on ambiguous projects
- An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
- Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
The candidate,
1. Must have a very good hands-on technical experience of 3+ years with JAVA or Python
2. Working experience and good understanding of AWS Cloud; Advanced experience with IAM policy and role management
3. Infrastructure Operations: 5+ years supporting systems infrastructure operations, upgrades, deployments using Terraform, and monitoring
4. Hadoop: Experience with Hadoop (Hive, Spark, Sqoop) and / or AWS EMR
5. Knowledge on PostgreSQL/MySQL/Dynamo DB backend operations
6. DevOps: Experience with DevOps automation - Orchestration/Configuration Management and CI/CD tools (Jenkins)
7. Version Control: Working experience with one or more version control platforms like GitHub or GitLab
8. Knowledge on AWS Quick sight reporting
9. Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, AWS CloudTrail, Datadog and Elastic Search
10. Networking: Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB) and high availability architecture
11. Security: Experience implementing role-based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment. Familiar with penetration testing and scan tools for remediation of security vulnerabilities.
12. Demonstrated successful experience learning new technologies quickly
WHAT WILL BE THE ROLES AND RESPONSIBILITIES?
1. Create procedures/run books for operational and security aspects of AWS platform
2. Improve AWS infrastructure by developing and enhancing automation methods
3. Provide advanced business and engineering support services to end users
4. Lead other admins and platform engineers through design and implementation decisions to achieve balance between strategic design and tactical needs
5. Research and deploy new tools and frameworks to build a sustainable big data platform
6. Assist with creating programs for training and onboarding for new end users
7. Lead Agile/Kanban workflows and team process work
8. Troubleshoot issues to resolve problems
9. Provide status updates to Operations product owner and stakeholders
10. Track all details in the issue tracking system (JIRA)
11. Provide issue review and triage problems for new service/support requests
12. Use DevOps automation tools, including Jenkins build jobs
13. Fulfil any ad-hoc data or report request queries from different functional groups