Analytics Engineer | Permanent WFH/ Remote

4-9 years
4 months ago 288 Applied
Job Description

Job Description: Analytics Engineer

Location: WFH/Remote

Experience: 4+ years

Skills - Python, Redshift, S3, AWS, Azure, GCP, Kubernetes (AKS, EKS, GKS)

Contract Duration - 3 months (extendable)

Key Roles and Responsibilities:

  • Domain experience of Pharma or fintech and banking is a must
  • Experience of managing the data service on platforms like Redshift, S3, Azure Blob Storage, Google Cloud Storage etc.
  • Experience in working with Python proficient Data Science team/Data Engineering team
  • Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
  • Basic concepts of Data Modeling: Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
  • Solid expertise in data extraction from different sources
  • Responsible for design, development, testing oversight and production implementation using API, Python, SQL & cloud.
  • Understanding of how data sets can power a variety of analytic use cases (clustering, segmentation, regression, etc.)
  • Ensure alignment to coding standard methodologies and development of reusable code
  • Work with Data Scientists and Data Analysts to understand business processes and identify opportunities to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting
  • Create and enable the generation of ad-hoc / on-demand data sets for use by analysts and data scientists
  • Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs
Competences & Skills
  • BE/ME/Btech/Mtech in Computer Science or a related technical field.
  • 4+ years working with Analytics and Data Engineering teams with a mixed data engineering and analytics background
  • Programming proficiency in cloud data ecosystem using Python
  • Highly proficient working in AWS cloud environment (S3, Azure, Cloud Formation, AWS, Redshift, GCP)
  • Experience in Kubernetes flavours - AKS, EKS, GKS
  • Experience working on or leading initiatives around data governance, master data management, data catalogs, and enterprise data warehouse architecture
  • Strong analytical skills, data sensibility, and an able communicator

About the company:

WovVTech’s suite of products are now empowering users across 3000 locations in 50 countries to digitize their operations, get real time decision driven analytics and improve productivity. It counts global fortune 500 companies as its customers for technology services and products and also benchmarks an even higher level of process and delivery standards.

It is amongst Top 20 Global SaaS startups recognized by CIO Review in 2020 and Top 10 Best SaaS companies in India, as recognised by CEO Insights.

WovVTech has developed patent pending aPaaS platform & framework using artificial intelligence and cloud computing that reduces the coding effort by 30-50%

Customers form the core of all the solutions. We get out of our cubes and see the real world to build great WovV products.

Visit us at :

Be the next WovVScion :

This is an opportunity to be part of an energetic and growing WovV Team and take part in the journey of building and scaling great products with cutting edge technologies.

Working with us means being at the convergence of engineering, design, innovation, and scale. It means being part of a highly skilled and driven team whose work directly improves the lives of our customers.

Our people are our culture and a huge part of what makes us a little more WovV every single day
We know you’re happiest when you’re learning new things, so each new assignment will give you an opportunity to do things differently, explore new technologies and challenge the status quo!

Benefits and Perks:
• Work from Home / Remote Working
• Flexibility in timings
• 5 Days working
• Team Outing
• Performance Bonus
• Employee reference bonus policy
• Exciting career path with an exponentially growing company
• Learning opportunities with energetic mobile CoE team
• Fun activities
• Abroad opportunities
• Deserving compensation

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