11+ Applied mathematics Jobs in Bangalore (Bengaluru) | Applied mathematics Job openings in Bangalore (Bengaluru)

Your key responsibilities

• Create and maintain optimal data pipeline architecture. Should have experience in building batch/real-time ETL Data Pipelines. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• The individual will be responsible for solution design, integration, data sourcing, transformation, database design and implementation of complex data warehousing solutions.
• Responsible for development, support, maintenance, and implementation of a complex project module
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support.
• complete reporting solutions.
• Preparation of HLD about architecture of the application and high level design.
• Preparation of LLD about job design, job description and in detail information of the jobs.
• Preparation of Unit Test cases and execution of the same.
• Provide technical guidance and mentoring to application development teams throughout all the phases of the software development life cycle

Skills and attributes for success

• Strong experience in SQL. Proficient in writing performant SQL working with large data volumes. Proficiency in writing and debugging complex SQLs.
• Strong experience in database system Microsoft Azure. Experienced in Azure Data Factory.
• Strong in Data Warehousing concepts. Experience with large-scale data warehousing architecture and data modelling.

• Should have enough experience to work on Power Shell Scripting

• Able to guide the team through the development, testing and implementation stages and review the completed work effectively
• Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation
• Primary owner of delivery, timelines. Review code was written by other engineers.
• Maintain highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability
• Must have understanding of business intelligence development in the IT industry
• Outstanding written and verbal communication skills
• Should be adept in SDLC process - requirement analysis, time estimation, design, development, testing and maintenance
• Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools
• Should be able to orchestrate and automate pipeline
• Good to have : Knowledge of distributed systems such as Hadoop, Hive, Spark

To qualify for the role, you must have

• Bachelor's Degree in Computer Science, Economics, Engineering, IT, Mathematics, or related field preferred
• More than 6 years of experience in ETL development projects
• Proven experience in delivering effective technical ETL strategies
• Microsoft Azure project experience
• Technologies: ETL- ADF, SQL, Azure components (must-have), Python (nice to have)

Ideally, you’ll also have

Key Responsibilities : ( Data Developer Python, Spark)

Exp : 2 to 9 Yrs 

Development of data platforms, integration frameworks, processes, and code.

Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages

Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.

Elaborate stories in a collaborative agile environment (SCRUM or Kanban)

Familiarity with cloud platforms like GCP, AWS or Azure.

Experience with large data volumes.

Familiarity with writing rest-based services.

Experience with distributed processing and systems

Experience with Hadoop / Spark toolsets

Experience with relational database management systems (RDBMS)

Experience with Data Flow development

Knowledge of Agile and associated development techniques including:

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• 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.

• Insurance P&C and Specialty domain experience a plus
• Experience in a cloud-based architecture preferred, such as Databricks, Azure Data Lake, Azure Data Factory, etc.
• Strong understanding of ETL fundamentals and solutions. Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
• Strong experience in Python/PySpark and Spark SQL
• Experience in troubleshooting data issues, analyzing end to end data pipelines, and working with various teams in resolving issues and solving complex problems.
• Strong experience developing Spark applications using PySpark and SQL for data extraction, transformation, and aggregation from multiple formats for analyzing & transforming the data to uncover insights and actionable intelligence for internal and external use