Visual Designer to join our creative crew. As an individual contributor, youll be the creative force behind our internal and external communications, working closely with our digital and communications teams to deliver impactful messages to our target audience. What you ll be doing: Create impactful designs to attract, engage and convert the target audience across different channels Ensure every design aligns perfectly with our branding strategy and marketing initiatives. To be successful in this role, you should have: Qualification: A bachelors degree in design, Fine Arts or related field from NID. Experience: Minimum 2 years of experience in designing campaigns, social media posts, case studies, brochures, posters, presentations, websites and more. Skills: The ability to visually tell a story based on written scripts and discussions with writers and other team members Expertise in design software like Illustrator, Figma What you ll find here: A culture of innovation: Dive into a culture where creativity and innovation thrive. Endless learning opportunities: Continuously expand your skillset by exploring and applying the latest advancements in your field. Talented peers: Surround yourself with talented peers who are as passionate as you are. Work-life balance: We value your well-being and offer flexible schedules with remote work options. A great culture: Our employees love working here! 82% recommend Talentica to their friends, according to

Own and oversee DevOps operations in a GCP environment using Terraform, Kubernetes (GKE), Prometheus, and Grafana. Ensure timely execution of DevOps tasks while optimizing infrastructure automation. Drive CI/CD pipeline enhancements and cloud security best practices. Enhance monitoring, logging, and alerting capabilities to improve system reliability. Optimize cloud costs, scalability, and security for long-term efficiency. Manage and guide a 24x7 CloudOps/SRE team responsible for uptime and incident response. Create and maintain rosters to ensure continuous 24x7 support coverage. Oversee incident management, RCA (Root Cause Analysis), and SLAs. Implement observability best practices using Grafana, Prometheus, and Opsgenie. Reduce manual intervention by promoting automation and self-healing infrastructure. Build and maintain strong customer relationships, ensuring clear and transparent communication. Lead and mentor a cross-functional team of DevOps and CloudOps/SRE engineers. Ensure team productivity, performance reviews, and professional growth. Drive continuous improvement through feedback, training, and best practices. Maintain basic to intermediate AWS knowledge (IAM, EC2, EKS, S3, Lambda, CloudFormation). Assist in AWS networking, security, and infrastructure optimization when required. Provide support for AWS-based workloads where integration with GCP exists. To be successful in this role, you should have: Qualification: BE/BTech from a reputable engineering institute. Experience: 8-12 years in DevOps, CloudOps, or SRE roles. Technical Stack Expertise Required: Cloud platform: Google Cloud Platform (GCP) - Major, AWS-Minor Infrastructure as code (IaC): Terraform Containerization orchestration: Kubernetes (GKE) CI/CD automation: Jenkins, GitOps, Ansible Monitoring observability: Prometheus, Grafana Incident alerting tools: Opsgenie Big data streaming technologies: Kafka, Airflow, Druid AWS services: IAM, EC2, S3, Lambda, CloudFormation, CloudWatch Tech skills: Prior experience in handling 24x7 operations and multi-cloud environments. Proven experience in managing DevOps CloudOps/SRE teams, ensuring smooth operations. Hands-on expertise with GCP infrastructure, Terraform, Kubernetes (GKE), and CI/CD pipelines. Experience in incident management, RCA, monitoring, and alerting tools (Prometheus, Grafana, Opsgenie). Strong understanding of reliability engineering, automation, and cloud security best practices. Bonus points Experience with Kafka, Airflow, and Druid in large-scale environments. GCP Professional DevOps Engineer, AWS Solutions Architect, or Kubernetes certifications. Working knowledge of AWS cloud services, assisting in hybrid-cloud scenarios What you ll find here: A culture of innovation: We dont take up maintenance projects. Our customers come to us for our technology expertise. Endless learning opportunities: Continuously expand your skillset by exploring and applying the latest advancements in your field, creating better, faster, and simpler products. Talented peers: Work alongside experienced graduates from Indias top engineering colleges (IITs, NITs, and a few select others). Work-life balance: We value your well-being and offer flexible schedules with remote work options. A great culture: Our employees love working here! 82% recommend Talentica to their friends, according to

Were seeking a Big Data Developer who s passionate about creating intelligent, scalable solutions and eager to work with the latest technologies. If youre ready to drive the future of tech and want to work on exciting projects with top-tier developers, we encourage you to apply. What you'll be doing: Developing intelligent and scalable engineering solutions from scratch Partnering with the customers to share product vision & goals Working on high/low level product designs & roadmaps along with a team of ace developers Building products using bleeding-edge technologies on Open-source Python tech stack, kafka, Storm, Spark/flask, or Hadoop, Cassandra, MongoDB and lots more To be successful in this role, you should have: Qualification: BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India. Experience: 4-6 years of experience in Python and Spark/flask. Tech skills: Strong knowledge of NoSQL databases (Cassandra, Aerospike, MongoDB). Experience with REST API frameworks (a plus). What you'll find here: A culture of innovation: We dont take up maintenance projects. Our customers come to us for our technology expertise. Endless learning opportunities: Continuously expand your skillset by exploring and applying the latest advancements in your field, creating better, faster, and simpler products. Talented peers: Work alongside experienced graduates from Indias top engineering colleges (IITs, NITs, and a few select others). Work-life balance: We value your we'll-being and offer flexible schedules with remote work options

Develop, optimize, and maintain SQL queries for Tableau data sources, ensuring efficient and accurate data delivery. Write and optimize complex queries for Oracle and BigQuery databases to support business reporting needs. Work with MongoDB , querying semi-structured data for analytics and reporting purposes. Collaborate with BI developers and analysts to enhance data processing efficiency and report accuracy. Develop, maintain and enhance existing ETL/ELT pipelines, ensuring data is ingested, transformed, and delivered efficiently. Collaborate with cross-functional teams to identify and implement improvements in data workflows Provide support for troubleshooting and resolving data issues as they arise. Participate in early development efforts related to Lakehouse architecture initiatives Assist in preparing existing data workflows for integration with modern cloud-based data platforms. Stay informed about emerging data technologies and contribute to modernization strategies. Perform thorough data validation and reconciliation to ensure consistency across different data sources. Identify and resolve discrepancies by working closely with data analysts and business stakeholders. Support data quality assurance processes, implementing best practices to improve reliability. To be successful in this role, you should have: Qualification: BE/BTech in Computer Science, Data Engineering, or a related field from a top institute (like IIT, NIT, BITS, etc.). Experience: 5+ years of experience working with SQL and managing data pipelines. Tech skills: Advanced SQL skills for query performance tuning and optimization. Knowledge of ETL/ELT processes and experience optimizing data transformations. Experience working with relational ( Oracle, BigQuery ) and NoSQL ( MongoDB ) databases. Experience with Python or scripting for automation Familiarity with cloud platforms such as AWS, GCP, and Azure. Bonus points for hands-on experience with BI tools like Tableau! Soft skills: You should also have strong analytical problem-solving abilities, excellent communication skills, and the ability to juggle multiple tasks independently in a fast-paced environment.

We re looking for a meticulous and detail-oriented QA Specialist who is passionate about data quality. You ll be working closely with our analytics team, helping design and execute comprehensive QA processes, validating data pipelines, and automating recurring QA tasks. Your work will play a big role in ensuring that everything we deliver is accurate, reliable, and top-notch. If you love solving problems, automating tasks, and ensuring data integrity, you ll fit right in! What you ll be doing As an QA Specialist, you will: Develop and execute comprehensive QA processes for data and analytics deliverables. Validate the entire data pipeline, including data sources, ETL processes, extracts, calculations, visualizations, and application interfaces. Perform functional, regression, performance, and tolerance-range testing across reports and data systems. Simulate end-user journeys to ensure a seamless user experience with analytics outputs. Validate application tracking functionality (data collection through application usage). Validate calculations and metrics in Tableau , Power BI , and other BI tools. Conduct database validations using SQL (Oracle, BigQuery) and NoSQL (MongoDB) systems. Automate recurring QA processes in the analytics/BI environment when feasible Identify and document data quality issues and discrepancies. Collaborate with cross-functional teams, including data engineers, BI developers, and product managers, to ensure analytics quality To be successful in this role, you should have: Qualification: BE/B.Tech from IIT, NIT, BITS, VJTI, any government college of India. Experience: 2+ years of experience in QA, data validation, or analytics testing Tech skills: Hands-on experience BI tools environment testing. Proficiency in SQL (experience with Oracle and BigQuery a plus) Experience with NoSQL databases ( MongoDB is a bonus). Familiarity with regression testing and simulating user interactions with BI tools. Bonus points if you have: Familiarity with scripting languages like R or Python. Experience in automation testing within analytics or BI environments. Experience in Databricks environment Soft skills: You should also have excellent communication, the ability to collaborate cross-functionally, and the talent to present complex findings to both technical and non-technical audiences.

Are you an expert in ELT development and passionate about working with Google Cloud Platform (GCP) tools like BigQuery, Python, and FirestoreIf so, we want you on our team! We re looking for someone to help design and implement efficient ELT pipelines that support data integration, analytics, and operational workloads. Your role won t just be about working in isolation you ll collaborate with cross-functional teams to ensure smooth data processing and transformation. What you ll be doing As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats suitable for analytics and reporting. Integrate data from multiple sources into centralized repositories or operational systems. Work closely with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor ELT jobs to ensure timely data availability. Debug and resolve issues in data pipelines to maintain data integrity. To be successful in this role, you should have: Qualification: A Bachelors degree in Computer Science, Information Technology, or something similar from a top institute (IIT, NIT, BITS, etc.). Experience: 3+ years of experience in ELT/ETL development on cloud platforms. Tech skills: Proven expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Strong proficiency in Python for scripting and automation Solid understanding of data warehousing concepts and data modeling. Experience with SQL for querying and transforming data Familiarity with NoSQL databases like Firestore Knowledge of Apache Beam for building scalable data processing pipelines Soft skills: You should also have excellent problem-solving abilities, the communication skills to collaborate with teams. Bonus points if you: Have experience with GCP Cloud Scheduler or other orchestration tool Hold a Google Professional Data Engineer certification or similar. Have experience with CI/CD pipelines for deploying ELT workflows.