MathCo is a leading global AI and analytics firm that partners with Fortune 500 and equivalent organizations. We offer a distinct consulting approach that overcomes the limitations of traditional analytics services by providing speed, reusability, and customization. At MathCo, we aim to enhance our clients analytics capabilities and empower them to become self-sufficient through our proprietary AI/ML master engine, Co.dx, along with the utilization of IP-led assets, skilled talent, and efficient processes, ultimately leading to accelerated and human-centric solutions.
Over the last seven years, we have worked with over 60+ Fortune 10/100/500 or equivalent companies across 10+ industries, such as Healthcare, Retail, CPG, and Manufacturing, while establishing our global presence across 15+ cities with our headquarters in Bangalore, Chicago, Toronto, and Amsterdam. In this journey, we have been consistently strengthening in size year after year, with Data Scientists & Engineers, Consultants, and Visualization experts joining our cohort.
Rightfully, we have been Great Place to Work Certified in India two years in a row and Accredited for Inclusive Practices by GPTW, India. We have also been recognized among the Top 10 companies in the 50 Best Firms for Data Scientists to Work by AIM 2023, emerged as a Leader in AIM's Penetration and Maturity (PeMa) Quadrant 2023 for Data Science Service Providers, included in Forrester's Customer Analytics Service Provider Landscape, Q1 2023, recognized among the Best Firms for Women in Tech by Analytics India Magazine, 2023, ranked #77 on the Inc. 5000 List of fastest-growing private companies in America 2022, and included in the Gartner Magic Quadrant for Data and Analytics Service Providers Report 2022, among others.
WHAT'S IN IT FOR YOU:
- Growth and Learning: Unlock your potential in an atmosphere of growth, diverse job streams, and comprehensive analytics training to excel in solving client challenges.
- Flexible and Inclusive Culture: Enjoy work-life balance with a flexible & hybrid work culture, while being part of an inclusive and diverse environment that values your well-being.
- Recognition and Impact: Join an award-winning team that celebrates excellence and contributes to meaningful solutions that shape industries and make a difference.
ROLE DESCRIPTION
- Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
- Is a technical lead who is responsible to build data pipelines, implement data quality, build data model, monitor, and optimize data pipelines to minimize runtime, and adhere to customer and MathCo. set standards.
- Is responsible to set standards, drive customer conversations, build end-end data flow, optimize for time and cost, etc.
- Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
- Ability to build reusable frameworks that can drive efficiency of the overall data system.
- Can build architecture for end-end data systems on at least one cloud platform with ability to adopt to other cloud platform with minimal supervision.
- Has executed multiple projects including on - streaming, batch, large data pipelines, etc.
- Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.
REQUIRED SKILLS (MUST HAVE)
a) Tech :
- Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
- Working knowledge of an ETL and/or orchestration tools like IICS, Metallion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
- Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Hive, Big Query, etc.
- Proficient in Spark and can optimize Spark jobs with ease.
- Proficient in at least one programming language used in data engineering, such as Python (Non-negotiable) and Scala/Rust/Java
- Understanding of Medallion architecture pattern
- Has strong SQL knowledge along with optimization skills
b) Non-Tech :
- Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
- Proficient in written and verbal communication and able to hold conversations with mid-management-level clients.
- Ability to recognize pragmatic alternatives vis--vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
- Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
- Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team.
- Self-driven with a strong sense of ownership.
EDUCATION QUALIFICATIONS
- An undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field.
- For those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important.
YEARS OF EXPERIENCE
- 7-10 years of relevant work experience
