8 days ago
Chennai, India or Bengaluru, IndiaSenior
Responsibilities
- Lead the design, prototyping, and implementation of scalable data pipelines and services.
- Own AWS infrastructure used to host, monitor, and scale services, including automation and cost and performance optimization.
- Translate product requirements into scalable technical solutions, implementation plans, and delivery roadmaps.
- Mentor and coach engineers through design reviews, pair programming, and code reviews.
- Drive data quality, observability, governance, lineage, SLA, monitoring, and reliability practices.
- Lead technical delivery of data systems from design through production support and contribute to broader platform architecture decisions.
Requirements
- 6+ years of professional data engineering experience building scalable, high-performance, reliable data platforms and services.
- Strong experience with SQL, Python, Airflow, data warehousing, Snowflake, AWS, Git, ETL/ELT, and AWS Glue.
- Deep experience with data modeling, performance tuning, and cost management for SQL-based data warehouses at scale.
- Experience applying clean code, architectural design patterns, testing strategies, and CI/CD practices.
- Demonstrated experience leading non-trivial technical projects end to end and deputizing for a technical lead.
- Preferred experience with large-scale content management systems, big data platforms, cross-team architecture, GitHub Actions, Terraform, search, graph systems, or analytical databases.
- Ability to learn and teach new technologies and tools, drive outcomes in ambiguous environments, and collaborate inclusively.
Benefits
- Flexible working hours.
- Wellbeing initiatives, family leave, and tuition reimbursement.
- Group health insurance covering the employee and family.
- Group life insurance and accident insurance.
- Long-service awards and a new baby gift.
- Subsidized food and free transport to and from the office for India-Chennai employees.
- Casual, sick, privilege, compassionate, special sick, gazetted public holiday, and maternity/paternity leave.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSFastAPIGitGitHub ActionsJavaPythonSnowflakeSpring BootSQLTerraform
Categories
Data Engineering
About Elsevier
Elsevier builds scientific and medical information products and analytics platforms for researchers, clinicians, and educators. Its portfolio includes journals and databases such as The Lancet, Cell, ScienceDirect, Scopus, and ClinicalKey, sold primarily via institutional subscriptions, licensing, and open-access publishing fees. Founded in 1880 and headquartered in Amsterdam, Elsevier operates as a business of RELX, serving universities, hospitals, corporations, and government research agencies worldwide.