Responsibilities: -
Leading the design, prototyping and build of robust and scalable data pipelines, setting the standard for clean code and best-practice software engineering principles across the team.
Working with technologies including Python (Fast API), Java (Spring Boot), Data Warehouse, Spark, Airflow, Snowflake, ETL/ELT, Iceberg, Kafka and RDBMS.
Owning cloud infrastructure in AWS to host, monitor and scale the services, automating common tasks mercilessly and driving cost and performance optimisation.
Partnering with Product Managers, architects and engineering teams to translate product requirements into scalable technical solutions, implementation plans and delivery roadmaps.
Mentoring and coaching engineers through design reviews, pair programming and code review, raising the technical bar of the team.
Driving data quality, observability, governance and reliability practices across Libra data products, including SLAs, lineage and monitoring.
Contributing to architectural decisions for the wider Search and AI Platform and influencing technical direction beyond your immediate team.
Requirements: -
6+ years of professional experience in data engineering, with a strong track record of building scalable, high-performance and reliable data platforms and services.
Strong core skill set including SQL, Python, Airflow, Data Warehousing, Snowflake, AWS, Git, ETL/ELT and familiarity with AWS Glue.
Deep experience with SQL and data warehouses, preferably Snowflake, including data modelling, performance tuning and cost management at scale.
An advocate and enforcer of best practices for rapid development of quality software, including clean code, architectural design patterns, testing strategy and CI/CD.
Comfortable learning new technologies, languages and tools on the job, and helping others do the same, to ensure the product is not left behind in a rapidly evolving ecosystem.
Demonstrated experience leading the technical delivery of non-trivial projects end to end, from design through to production support.
A desire to operate in a senior data engineering role, including deputising for the technical lead, owning design and implementation of data systems and pipelines, and setting engineering standards.
An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers.
Nice to have
Experience with large-scale content management systems and big data platforms.
Experience leading architectural decisions within a team or across teams.
Familiarity with CI/CD pipelines and infrastructure as code (GitHub Actions, Terraform).
Exposure to search, graph, or large-scale analytical databases.
Strong ownership mindset and proven ability to drive outcomes in ambiguous problem spaces.
Work in a way that works for you: -
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you: -
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidized food provided (applies to India- Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)
About Us: -
A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s
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- We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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