Senior Data Engineer

Job Description

Company Description Life at Talentship is built on a culture where innovation, growth, and people are at the center of everything. Talentship’s hybrid offshoring model combines European precision with global talent to deliver solutions across AI, software development, cloud and DevOps, and data and analytics. Team members are part of a purpose-driven environment focused on building the future of technology while also building careers, relationships, and a sense of belonging. The company values the stories, voices, and moments behind its work, creating a workplace where individuals can thrive and make a meaningful impact. Job Details Experience: 8–12 Years Location: Chennai / Bengaluru Employment Type: Full-time Work Mode: Hybrid About the Role We're looking for a Senior Data Engineer to design and build scalable, cloud-native data platforms that power analytics, reporting, and machine learning. You'll work closely with Data Science, Analytics, and Engineering teams to create reliable data solutions that support business-critical decisions. What You'll Do Design, build, and maintain scalable data pipelines using Python. Develop and manage workflows with Apache Airflow or Google Cloud Composer. Improve data quality, pipeline reliability, and overall platform performance. Design efficient data models and cloud-native architectures. Build and optimize ETL/ELT pipelines. Collaborate with Data Science, Analytics, and Engineering teams to deliver trusted data products. Automate deployments and improve CI/CD practices for data engineering workflows. What We're Looking For 8+ years of experience in Data Engineering. Strong programming skills in Python. Hands-on experience with Apache Airflow and/or Google Cloud Composer. Experience building and maintaining production-scale data pipelines. Good understanding of GCP, ETL/ELT, data modeling, workflow orchestration, and monitoring. Experience designing reliable, scalable, and maintainable data platforms. Strong analytical, problem-solving, and communication skills. Ability to collaborate with cross-functional teams and mentor junior engineers. Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. Candidates who can join immediately or within 15 days will be highly preferred. Nice to Have Experience with BigQuery, dbt, or Dagster. Familiarity with Kafka or event-driven architectures. Experience with Docker, Kubernetes, or Terraform. Exposure to MLOps or machine learning data pipelines. Knowledge of data governance and metadata management. Experience leading technical initiatives or mentoring engineering teams. Tech Stack Python | Apache Airflow | Google Cloud Composer | GCP | BigQuery | SQL | ETL/ELT | Data Modeling | Kafka | Docker | Kubernetes | Git | CI/CD