Job Description

About Us:

At Innovapptive, we are bringing the industrial front-line worker, back-office and assets together. Our platform is the only patented and “Code-Free” connected worker platform for SAP and IBM Maximo and is disrupting and digitizing archaic, tedious, & labor intensive paper-based processes for maintenance, operations, & supply chain. The industrial front-line workers are empowered with a suite of highly reconfigurable mobile apps, while the back-office has real-time visibility into the front-line workforce with better planning, scheduling, adoption monitoring and actionable insights. Some of the world’s largest brands such as Newmont Mining, Dominion Nuclear, Hess, Shell, UNICEF, ConocoPhillips, Reckitt Benckiser are digitally transforming their back-office and front-line industrial worker experiences. We are saving companies millions of dollars by improving their asset uptime, productivity, safety, and talent challenges, while delivering jobs better, faster, cheaper and safer.

We are backed by Tiger Global Management, a Global Marquee Fund with over $30 Billion of Assets Under Management (AUM). Tiger Global Management has a reputation of investing and building some of the world's "Unicorn" brands such as Spotify, Netflix, Facebook, LinkedIn, Amazon, Peloton, Harry's, Ola, Flipkart, Freshworks and many more!

Recently we have announced our Series B funding led by Vista Equity Partners, a leading global technology investor, with participation from Tiger Global Management, our existing Series A investor. Vista invests in mission-critical software businesses that have a clear purpose and a demonstrated track record of success, such as Innovapptive.

Our mission is made possible by Innovapptive’s most important asset: our people. We come together through collaboration and ambition in a team-driven culture. Through the success of our product, we have seen monumental growth in our workforce, and we constantly look for exceptional talent to join us. At Innovapptive, you are challenged with dynamic tasks that drive your professional development and career growth. Join us on our journey to deliver an innovative connected worker experience and to empower 350 Million Industrial Front-Line Workers around the world with the ability to truly harness the power of connected worker experience by improving the working life of a front-line worker and the back-office employee.

The Role:

We are looking for an experienced and highly skilled Big Data Lead to join our team and drive the design, implementation, and management of our big data infrastructure. The ideal candidate will have a deep understanding of data lake architectures, big data technologies, and data engineering processes. This role requires expertise in handling large-scale data processing and developing robust analytics solutions that provide actionable insights.

How You Will Make an Impact:

Data Lake Architecture and Management:

• Design and manage scalable and efficient data lake architectures to support the organization’s data storage and processing needs.
• Utilize data lake platforms such as Apache Hadoop, Amazon S3, Azure Data Lake Storage, or Google Cloud Storage to optimize data management.

Data Engineering:

• Lead the development and maintenance of ETL (Extract, Transform, Load) pipelines to ensure seamless data integration and transformation.
• Work with data integration tools like Apache NiFi, Apache Airflow, Talend, or Informatica to automate and optimize data workflows.

Big Data Technologies:

• Implement and manage big data processing frameworks such as Apache Spark, Apache Flink, or Hadoop MapReduce for large-scale data processing.
• Leverage distributed computing and parallel processing techniques to enhance data processing efficiency.

Data Modeling and Schema Design:

• Design efficient, scalable, and maintainable data models that align with business needs.
• Work with both relational and non-relational databases, including SQL and NoSQL databases, to create and manage data schemas.

Analytics and Business Intelligence (BI):

• Develop analytics solutions and interactive dashboards using tools like Tableau, Power BI, Looker, or Qlik to enable data-driven decision-making.
• Apply data visualization best practices to convey complex data insights in a clear and impactful manner.

Programming and Scripting:

• Utilize programming languages such as Python, Java, or Scala to develop data processing applications and automate tasks.
• Use scripting languages like Bash or PowerShell for automation of routine tasks and system management.

What You Bring to the Team:

• Bachelor’s degree in Computer Science, Information Technology, or a related field from Tier 1/2 colleges.
• 3 - 5 years of total experience
• Extensive experience in designing and managing data lake architectures using platforms like Apache Hadoop, Amazon S3, Azure Data Lake Storage, or Google Cloud Storage.
• Strong proficiency in building and maintaining ETL pipelines using tools like Apache NiFi, Apache Airflow, Talend, or Informatica.
• Deep knowledge of big data processing frameworks like Apache Spark, Apache Flink, or Hadoop MapReduce.
• Expertise in distributed computing and parallel processing.
• Proven ability to design scalable data models and schemas for both SQL and NoSQL databases.
• Experience in developing analytics and BI solutions using tools like Tableau, Power BI, Looker, or Qlik.
• Proficiency in programming languages such as Python, Java, or Scala, and scripting languages like Bash or PowerShell.
• Experience leading teams in big data projects and managing large-scale data infrastructure.
• Strong analytical skills with the ability to translate complex data into actionable insights.
• Excellent communication skills and the ability to work collaboratively across teams.