4 Gcp) Jobs

Collaborate with ZS internal teams and client teams to shape and implement high quality technology solutions that address critical business problems Understand and analyze business problems thoroughly, and translate them into technical designs effectively Design and implement technical features using best practices for the specific technology stack being used Assist in the development phase of implementing technology solutions for client engagements, ensuring effective problem-solving Apply appropriate development methodologies (eg, agile, waterfall, system integrated testing, mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of projects Provide guidance and support to team members in creating comprehensive project implementation plans Work closely with a development team to accurately interpret and implement business requirements What you ll bring: Bachelors or Masters degree in Business Analytics, Computer Science, MIS or related field with academic excellence Proficiency in RDBMS concepts, SQL, and programming languages such as Python Strong analytical and problem-solving skills to convert intricate business requirements into technology solutions Knowledge of algorithms and data structures Additional Skills: 0-3+ years of relevant professional experience in delivering small/medium-scale technology solutions Strong verbal and written communication skills to effectively convey results and issues to internal and client teams Familiarity with Big Data Concepts and Cloud Platforms like AWS, Azure, and Google Cloud Platform Understanding of productivity tools such as co-pilot and SQL generation Travel to other offices as required to collaborate with clients or internal project teams

Required Skills Qualification Hands-on experience in securing corporate environment. Hands-on experience in security frameworks (NIST, ISO 27001, CIS) and experience with risk management and compliance Hands-on experience securing Windows (Workstations and Servers), Linux (Workstations and Servers), and Mac Hands-on experience conducting risk management by identifying gaps and providing strategies for mitigation. Hands-on experience documenting vulnerability assessment results in a clear and actionable format. Expertise in network security, firewalls, IDS/IPS, and security monitoring tools such as SIEM Proficiency with cloud security technologies (AWS, Azure, GCP) and securing cloud-based infrastructure. Experience with incident response, forensics, and managing security incidents from detection to resolution. Determines security violations and inefficiencies. Knowledge of mergers and acquisitions Experience: Should have relevant experience of at least 10-15 years. Qualification: Engineering (Computers, Electronics, IT) or equivalent

Develop and validate technical programming specifications for analysis datasets using Alexion or ADaM standards. Independently develop and validate programs that generate analysis datasets based on Alexion or ADaM specifications. Develop and validate technical programming specifications for protocol-specific efficacy tables, listings, figures/graphs based on Protocol SAP. Independently develop and validate programs that generate efficacy tables, listings, figures/graphs using Alexion specifications. Supervise/manage external vendors and contract programmers. Oversee progress of programming activities. Review, maintain, and approve protocol-specific documents as necessary. Provide guidance and mentoring to peer and junior-level Programmers. Act as the primary department contact, when necessary, to ensure that department standards are implemented in all studies. Contribute ideas and thoughts towards the optimization of standard operating procedures. Lead team meetings when appropriate. Any other activities as required. Essential Skills/Experience: Bachelor s Degree (Minimum) or Master s Degree (Preferred) in Biostatistics, Statistics or another related discipline Minimum of 7 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry. Proven ability to: Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems Clearly communicate processes and standards with management and team members Expertise in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL Knowledge of: SDTM and ADaM Relational Databases. Good Clinical Practices. Good Programming Practices. 21CFR Part 11 Standards. Integrated Summary Safety/Efficacy Analyses. Safety data and Coding Dictionaries (MedDRA and WHODD). ICH eCTD format.

Role Description: We are seeking a seasonedSeniorEngineering Manager(Data Engineering)tolead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives.As a senior leader in the data organization, you will oversee the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs. Roles & Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring availability, accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives. Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: Experience managing a team of data engineers in biotech/pharmadomain companies. Experience in designing and maintainingdata pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Experience managing data workflows on Databricks in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, PySparkor scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full stack development& DataOps automation, logging & observability frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Good-to-Have Skills: Data Engineering Management experience in Biotech/Life Sciences/Pharma Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. Education and Professional Certifications 12 to 15 years of experience in Computer Science, IT or related field Databricks Certificate preferred Scaled Agile SAFe certification preferred Experience in life sciences, healthcare, or other regulated industries with large-scale operational data environments. Familiarity with incident and change management processes (e.g., ITIL). Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills