Experience Required – 2-5 years

Skillset –

• Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers.
• Strong SQL skills and proven experience in working with large datasets and relational databases.
• Experience with Data Governance (Data Quality, Metadata Management, Security, etc.).
• Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats.
• Understanding Data Warehouse design principles (Tabular, MD).
• Minimum 1 years of experience in any cloud (AWS/GCP/Azure) platform.
• Experience in working with big data tools/environment to automate production pipelines.
• Experience with data visual analysis and BI tools (Matplotliband Power BI).
  
  Responsibilities –
• As a Data Engineer in our team, you should have a proven ability to deliver high quality work on time and with minimal supervision.
• Developing new data pipelines and ETL jobs for processing millions of records and it should be scalable with growth.
• Pipelines should be optimised to handle both real time data, batch update data and historical data.
• Establish scalable, efficient, automated processes for complex, large scale data analysis.
• Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse/data lake.
• Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
• Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
• Adapt best practices and industry standards, ensuring top quality deliverables and playing an integral role in cross-functional system integration.
• Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
  Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
• Interact with end users/clients and translate business language into technical requirem

Required Experience, Skills and Qualifications:
• Proven Service Selling in B2B IT domain.
• Past experience of International Sales, majorly including selling custom services solutions.
• Ability to develop good relationships with current and potential clients.
• Strong research skillsets required before client interaction.
• Strong Persuasion and Influencing Skills
• Excellent Negotiation Skills.
• Excellent leadership and communication skills.
• Knowledge of productivity tools and software.
• High attention to detail and a focus on fact-based decision making.
• IT Solution/ Solution Selling /Mobility/Pre-Sales/Outbound(Software sales)/ Business Development/Key Account Management exposure/experience.
• Analytics sales experience would be an add-on advantage.

Responsibilities and Duties:

• Oversee the complete sales process from Inbound, Outbound to Inside sales to attract new clients (both Indian and International) and drive the revenues of the organisations.

• Qualifying new inbound leads and moving them through the sales pipeline.

• Generate new outbound leads from LinkedIn and similar platforms and move them through sales pipelines.

• Research, identity, and prospect for new target companies within multiple niche industries.

• Develop and execute a strong prospecting plan of action, including lead management strategies and communication strategies for better conversions. It includes understanding the client requirements, creating BRDs, coming up with the solution in association with the tech team and the submit the required proposals.

• Talk to influencers and decision-makers involved in procuring IT/ software development services

• Coordinate with Technical team to schedule pre-sales discussion, ensure smooth communication between prospect, sales team

• Full sales life-cycle expertise, Handling the Up-level lead generation

• Setting up online demo meeting and face to face meetings

• Regular follow-ups with the prospects that have been identified as potential clients and who have shown interest to use our services

• Serve as the first in-depth point of contact to customers

• Provide product/service information to prospective customers

• Upselling the services to existing clients with prospect nurturing.

• Maintain fruitful relationships with clients and address their needs effectively.

This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company’s aim to become a fully digital organisation.

Key Accountabilities
• Development and creation of high-quality analysis and reporting solutions

• Development of ETL routines using SSIS and ADF into Azure SQL Datawarehouse

• Integration of global applications such as D365,Salesforce and Workday into cloud data warehouse.

• Experience using D365 ERP systems and creating BI reports.

• Development of SQL procedures and SQL views to support data load as well as data visualisation

• Development of data mapping tables and routines to join data from multiple different data sources

• Performance tuning SQL queries to speed up data loading time and query execution.
• Liaising with business stakeholders, gathering requirements and delivering appropriate technical solutions to meet the business needs.

Professional Skills
• Strong communications skills and ability to turn business requirements into technical solutions
• Experience in developing data lakes and data warehouses using Microsoft Azure
• Demonstrable experience designing high-quality dashboards using Tableau and Power BI
• Strong database design skills, including an understanding of both normalised form and dimensional form databases.
• In-depth knowledge and experience of data-warehousing strategies and techniques e.g. Kimble Data warehousing
• Experience in Azure Analysis Services and DAX (Data Analysis Expressions)
• Experience in Cloud based data integration tools like Azure Data Factory or Snaplogic
• Experience in Azure Dev Ops is a plus
• Familiarity with agile development techniques and objectives.

Key Experiences
• Excellent communication skills
• Over 5 years’ experience in a Business Intelligence Analyst or Developer roles
• Over 4 years’ experience using Microsoft Azure for data warehousing
• Experience in designing and performance tuning data warehouses and data lakes.
• 4+ years extensive experience in developing data models and dashboards using Tableau/Power BI within an IT department
• Self-starter who can manage own direction and projects
• Being delivery-focused with a can-do attitude in a sometimes-challenging environment is essential.
• Experience using Tableau to visualise data held in SQL Server
• Experience working with finance data highly desirable