Lead - Data Engineering

Job not on LinkedIn

🕒 6 days ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Syngene International Limited

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Post-IPO Equity on 2023-02

Healthcare • Consulting • Logistics

Syngene International Limited is a contract research, development and manufacturing organization (CRDMO) that provides integrated discovery, development, and manufacturing services to pharmaceutical, biotechnology, animal healthcare, consumer goods, and agrochemical companies. With nearly three decades of experience, Syngene offers innovative solutions to its global clients, which include leading multinationals, start-ups, non-profits, and government organizations, enabling faster market access for new therapies that improve human and animal health.

📋 Description

• Support, maintain and enhance PDS data products and ETL pipelines using DBT, AWS Glue, Databricks and other cloud-native technologies • Analyze, troubleshoot and resolve production incidents while ensuring high availability, reliability and SLA adherence • Develop pipeline enhancements, bug fixes and operational automation to improve performance, scalability and efficiency • Ensure data quality, integrity and operational stability through validation, monitoring, root cause analysis and proactive issue resolution • Work with the Cloud Engineering team on cloud infrastructure management • Collaborate with Analytics Engineering, Cloud Engineering and Business teams on feature releases, production deployments and continuous improvements • Develop and maintain monitoring, alerting, dashboards and operational documentation • Stay current with Databricks, Agentic AI, Retrieval-Augmented Generation and AI-assisted development technologies to drive operational excellence

🎯 Requirements

• 3–5 years of experience in data engineering, production support, data operations or a related role • Hands-on experience with AWS Glue, Databricks, DBT and cloud-based data engineering services • Strong proficiency in SQL, Python and Apache Spark, with experience in debugging and performance optimization • Good understanding of ETL/ELT pipelines, data warehousing, data lakes and distributed data processing • Experience with Apache Airflow, AWS Step Functions or Databricks Workflows • Experience with production monitoring, incident management, root cause analysis, SLA management and troubleshooting • Familiarity with data quality frameworks, validation processes and data reconciliation • Experience with Git or SVN and Agile development methodologies • Familiarity with AWS services including Amazon S3, Glue, Athena, Redshift and CloudWatch • Working knowledge of Redshift, PostgreSQL, Athena and other relational or analytical databases • Familiarity with Jira, Confluence and ServiceNow • Understanding of CI/CD practices, deployment processes and production change management • Familiarity with Grafana or equivalent monitoring platforms • Knowledge of data governance, access management, IAM, data security and compliance • Experience building reusable automation frameworks, self-healing pipelines or operational dashboards • Exposure to pharmaceutical or life sciences data platforms is an advantage • Strong analytical thinking, problem-solving and debugging capabilities • Excellent communication and presentation skills • Proactive attitude toward operational improvements, automation and innovative solutions • Strong ownership, accountability and ability to work independently • Willingness to learn new technologies and collaborate across teams • Ability to prioritize multiple tasks and manage incidents in a time-sensitive environment

🏖️ Benefits

• Equal employment opportunity regardless of protected characteristics • Reasonable accommodations for qualified individuals with disabilities

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