Innodata Inc

Design and optimize scalable batch and real-time data pipelines and event-driven architectures for high-throughput systems. | Advanced Python proficiency and experience with big data tools like Airflow, Apache Spark, and Pub/Sub for production pipeline management. | Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. Key Responsibilities Design, build, and optimize scalable data pipelines for batch and real-time processing Develop and maintain event-driven architectures for high-throughput systems Ensure data reliability, performance, and low-latency processing across distributed environments Collaborate with data scientists and application teams to enable analytics and AI use cases Implement best practices in performance tuning, monitoring, and cost optimization Advanced proficiency in Python for backend and large-scale data processing Strong experience building and managing big data pipelines in production environments Hands-on expertise with workflow orchestration tools such as Airflow or Google Cloud Composer Proven experience in batch and streaming data processing using: Apache Spark Apache Beam (Dataflow) Experience designing and operating event-driven systems using Pub/Sub Strong understanding of distributed systems architecture and scalability patterns Experience managing globally distributed, low-latency datasets Hands-on experience with NoSQL databases and/or Google Cloud Spanner Strong knowledge of system reliability, fault tolerance, and performance optimization Preferred Skills Proficiency in Go, Java, or Scala Experience with Kafka or Flume for streaming ingestion Deep familiarity with the Google Cloud Platform ecosystem Experience with production monitoring, logging, and observability frameworks Exposure to high-availability, multi-region deployments Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov. #LI-NS1

Manage the full recruitment lifecycle from intake to offer for roles across departments. Build and maintain a strong pipeline of qualified candidates across multiple functions. | 1-3 years of talent acquisition or recruiting experience is required. Proficiency in Microsoft Excel and strong organizational skills are essential. | Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a highsecurity infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, highquality platforms. Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, Philippines, India, Sri Lanka, Israel, and Germany. Interested in joining us? About the Role: We are seeking a results-driven Senior Talent Acquisition Specialist to join our growing team. In this role, you will be responsible for identifying, attracting, and hiring top talent across a variety of roles within Innodata. You will play a pivotal role in building pipelines, managing full-cycle recruiting, and leveraging data and reporting to inform hiring strategies. Strong Excel proficiency is essential to manage and analyze recruiting metrics and hiring reports. Key Responsibilities Manage the full recruitment lifecycle from intake to offer for roles across departments. Partner with hiring managers to understand staffing needs, role requirements, and ideal candidate profiles. Source passive and active candidates using LinkedIn, job boards, referrals, and other creative methods. Build and maintain a strong pipeline of qualified candidates across multiple functions. Schedule and coordinate interviews, manage candidate communications, and ensure a smooth candidate experience. Track and report recruitment metrics such as time-to-fill, pipeline health, and source effectiveness using advanced Excel functions (pivot tables, VLOOKUP/XLOOKUP, conditional formatting, formulas, etc.). Create custom Excel dashboards and visual reports to support data-driven hiring decisions. Maintain accurate and up-to-date data in the ATS and Excel trackers. Stay current on talent market trends and recommend innovative sourcing strategies. Required Skills and Experience: 1-3 years of talent acquisition or recruiting experience (in-house or agency). Proficiency in Microsoft Excel (must be comfortable with pivot tables, lookups, filters, and building reporting templates). Proven experience sourcing and hiring for corporate and technical roles. Strong organizational skills and attention to detail. Excellent interpersonal, written, and verbal communication skills. Ability to work in a fast-paced, high-growth environment. Experience with applicant tracking systems (ATS) is a plus. Nice to have: Experience recruiting in a tech, data, or digital services environment. Familiarity with recruitment analytics and dashboards. Bachelor’s degree in Human Resources, Business, or related field (Master’s a plus but not required). Minimum Education Requirements Bachelor's degree in Computer Science, Engineering, Data Science, Project Management, or a related field (or equivalent work experience). Salary Range: $95,000-105,000 Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate. #LI-NS1