Job Title : Module Lead - ADF + SQL (ML)

Experience : 5- 8 Years

Location : Gurugram/Gurgaon

The candidates will be required to work from 2:00 PM to 11:00 PM IST.

Responsibilities :

- Develop, implement, and maintain the information data lake and using insight platforms to enable decision support systems for the overall organization.

- Partner with the business and our customers to understand their data and reporting requirements.

- Bring data sets together to answer business questions and drive growth.

- Design ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications.

- Collaborate with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.

- Work with new technologies while driving business intelligence solutions end-to-end : business requirements, data modelling, ETL, metadata, reporting, and dashboarding.

- Apply expertise in the design, creation, management, and business use of large datasets.

- Defines SLA for all areas of ownership.

- Experience with Data modelling, SQL, ETL, Data Warehousing and Data lakes

- Experience in writing SQL and Python scripts

- Experience in building dashboards and report using Microsoft Power BI

Preferred Qualifications :

- Experience in transforming data using Azure data factory

- Experience working with Spark and Azure Databricks

- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.

- Strong verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

- Familiarity of scripting language such as Python, PySpark, or JavaScript

- Knowledge of Azure Databricks and MPP databases

- Experience with Data Lake development

- Exposure to NoSQL databases (such as Cosmos DB, MongoDB)

- Experience working on Microsoft Power BI dashboards.

- Experience following the Agile processes.

- Experience working with distributed version control system like Git.

- Experience with Mulesoft/Kingswaysoft/Marketo.

Required Technical/ Functional Competencies :

Domain/ Industry Knowledge :

- Basic knowledge of customer's business processes- relevant technology platform or product

- Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members

Requirements Gathering and Analysis :

- Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

- Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge :

- Working knowledge of technology product/platform standards and specifications.

- Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

- Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks :

- Working knowledge of architecture Industry tools & frameworks.

- Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

- Working knowledge of architectural elements, SDLC, methodologies.

- Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design :

- Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

- Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge :

- Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies :

Accountability :

- Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration :

- Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility :

- Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus :

- Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication :

- Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results :

- Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict :

- Displays sensitivity in interactions and strives to understand others' views and concerns.