How Sigmoid offers a high-growth environment for data & analytics professionals

Sigmoid provides the right mix of opportunities, technology upskilling, and business use cases to build your dream career as a data professional.
How Sigmoid offers a high-growth environment for data & analytics professionals

2021 was a significant year for data engineering and AI solutions firm Sigmoid. It more than doubled the headcount and received several global awards and recognitions for its rapid growth — Deloitte’s Technology Fast 500 winner in North America, The Americas’ fastest-growing companies by Financial Times, and Inc. 5000 fastest-growing private companies in America, to name a few.  

These laurels rest on years of data innovation, exceptional talent, and resilience shown by the company. Its maturity in data engineering processes and core specialization in AI solutions have helped many Fortune 500 companies build and align their data strategy with business goals, and modernize data architectures using cloud and open-source technologies. Its advanced data engineering practices help customers overcome the challenges of traditional software engineering practices which may otherwise be expensive, less functional and demand higher maintenance, when driving analytics initiatives. 

Sigmoid’s competitive offerings are driven by strong data engineering and data science teams that bring the best combination of technology skill sets, domain experience, innovative mindset, and business acumen. Of course, it makes a great place to work for any data professional who hopes to make a difference in this dynamic and ever-evolving industry!

Strong Data Engineering Practice

Sigmoid’s end-to-end data engineering capabilities provide the right tools, solutions and frameworks to build scalable data pipelines, create data lakes, deploy machine learning models into production and operationalize them while lowering costs. 

With constant focus on transforming customer data journeys, Sigmoid has achieved many milestones over the years. For instance, the company enabled deployment of Apache Spark on Google Cloud Platform for the first time. Its team of data scientists and engineers was also responsible for the first migration of Pig on Apache Spark. Sigmoid’s continuous innovation and excellence in this space was also recognized as Overall Open-Source Data Solution Provider of the Year (2021) by Data Breakthrough Awards for delivering high-impact data and analytics solutions to clients.

With a plethora of opportunities, Sigmoid is the perfect launchpad for professionals to kick start their data engineering careers. A recent study by Great Place to Work India recognized CEO and Co-Founder Lokesh Anand as one of India’s best leaders in times of crisis in 2021. Responding to this recognition, Anand attributed it to the ‘Employee-First’ culture at the organization, which encompasses values like customer focus, continuous learning, accountability, and ownership, to make a difference. In another achievement, Rahul Kumar Singh, Chief Analytics Officer and Co-Founder was featured as one of the 50 most influential AI leaders in India for the year 2021.

Peer-to-Peer Learning And Industry Exposure

Sigmoid provides an opportunity to work amidst the most competent data professionals who have graduated from premium institutes with rich work experience that fosters peer-to-peer learning. The company doesn’t restrict itself to hiring engineering graduates but scouts talent from other backgrounds such as math and statistics to build a diverse talent pool.

Working with Sigmoid’s data engineering team also means there is never a shortage of quality projects. Engaging with several Fortune 500 companies across industries provides an opportunity to work with different domains, infrastructures, and advanced technology stacks. Sigmoid also has an edge over other data and analytics service providers with regard to exposure to full-stack data offerings — from automating data integration, building machine learning models to productionizing them. People who are passionate about data, possess good coding skills and understand software design & architecture are always sought after by the company.

“Sigmoid is a boutique firm that solves complex data challenges for its customers. With our exceptional teams of data engineers and data scientists, our commitment to the open-source ecosystem and continuous focus on customer satisfaction, we are one of the best places to learn and grow. We have expertise in handling large volumes of data and while doing so, our teams work across multiple industries, getting an opportunity to solve difficult problems utilizing disparate technology stacks. Our  data engineering, data science and DevOps teams work in cohesion to ensure project success, giving them a 360-degree exposure to solving real-world business problems,” said Guchu Nathani, VP Strategy and Operations, Sigmoid. 

Focus On Continuous Learning And Development

Another critical differentiator for Sigmoid is its focus on continuous learning and upskilling for career development. Takshashila, Sigmoid’s in-house learning academy, promotes application-oriented learning and upskilling through best-in-class resources and platforms. Takshashila offers personalized learning and knowledge-sharing sessions through mentorship, buddy system, and blended learning approaches. In addition, the employees also receive certification through online platforms like Coursera, Udemy, etc. and also complete coveted certifications from AWS, GCP, Microsoft and other technology partners.

Takshashila offers training programs for both freshers and experienced employees. Freshers undergo 18 to 24 weeks of training that facilitates a smooth campus to corporate transition. They shadow live projects and are exposed to real-world problems before being deployed into projects. The employees also undergo regular assessments regarding how well the employees are building skills. 

Lateral and experienced hires undergo training on project-specific skills. Apart from exposure to real-world problem simulations, they also have sessions on leadership and project management.

“We strongly believe in continuous learning and upskilling our employees with the latest and best-in-class technologies. We encourage personalized training and enable outcome-driven learning across all experience levels to accelerate professional development and help our employees  become well-rounded  professionals,” said Nathani. 

Employee Welfare At Heart

Sigmoid is a ‘People-First’ company that puts a lot of emphasis on the health and wellbeing of its employees. Along with nurturing professional competence, the company runs several wellness programs to help the employees stay healthy . For instance, to help deal with the COVID-19 pandemic, Sigmoid introduced several employee assistance programs that helped them with counseling and emotional therapy. It also set up a COVID response team, provided online doctor consultations, free vaccinations and medical insurance. Sigmoid also offered to set up home offices to facilitate convenient working conditions for employees working remotely during the lockdown.  

Apart from several employee-centric initiatives, Sigmoid also promotes meritocracy-based growth. The yearly reviews and quarterly recognitions for exceptional work keep the employees motivated at all times.  

“Employees are our top priority, and we believe in providing holistic growth in terms of physical, emotional, and mental wellbeing. All our employee welfare initiatives aim at taking the best care of our people,” shared Nathani. 

Brimming with Promising Opportunities 

For a field as dynamic as data engineering and AI, one needs a perfect launchpad to cut the clutter and emerge as a reliable name in the industry. Sigmoid’s offerings and opportunities provide the ideal option for freshers and experienced professionals to carve out a career as the best-in-class data professional. Its high-growth and collaborative environment offer an unrivaled opportunity to succeed and realize their career potential. 

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Shraddha Goled
I am a technology journalist with AIM. I write stories focused on the AI landscape in India and around the world with a special interest in analysing its long term impact on individuals and societies. Reach out to me at

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