31 Data Engineers Jobs - Page 2

You will be working as a Data Annotation Specialist for our esteemed MNC client based in the Delhi NCR region. In this full-time role, you will be responsible for accurately labeling and annotating data to facilitate the training of machine learning models. Your collaboration with data scientists and engineers will be crucial in ensuring the high quality of the data. It will be your responsibility to maintain consistency and quality in data annotation processes. To excel in this role, you must possess strong attention to detail and analytical skills. Previous experience in data annotation or a related field will be advantageous. You should be able to work independently, meet deadlines, and communicate effectively with team members. By joining our team, you will have the opportunity to work on cutting-edge projects with a leading MNC. We offer a competitive salary and benefits package, along with ample opportunities for professional growth and development. Join us now and be a part of our exciting journey!,

We are seeking an IT Recruiter to manage end-to-end hiring for technical roles. Responsibilities include sourcing, screening, and coordinating interviews to attract top IT talent.

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 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/pharma domain companies. Experience in designing and maintaining data 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 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, or 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 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 Any Degree and 9-13 years of experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred 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 EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. .

1.JD:-Cloud AI Architect *Azure Expert *Intergration *Python *C# *Networking *Cybersecurity 2.JD:- AI Developer *Azure AI Resources *Promt *Engneering *Databricks *Datablake 3.JD:- Data Engineers *Python *Big Data *Data Pipelines *Intergrations 4.JD: - Full Stack Developer *React *.Net *NodeJS 5.JD: - Data Scientist Send your resume to veena.g_c@sandvik.com

Responsible to manage the team of Data Scientists, Data Engineers, Data Governance Specialists, and Data Analyst Coordinate the execution of analytics and digital intelligence initiatives as scoped and prioritized Required Candidate profile Excellent in Communication Team Leadership and Development Proficiency in tools such as SQL, Python, Power BI/Tableau, Jira, Confluence, and Git

Key Responsibilities: Design, develop, and maintain enterprise-level BI dashboards and reports. Translate business requirements into technical specifications and BI solutions. Collaborate with cross-functional teams including Data Engineers, Analysts, and Business Stakeholders. Ensure high data quality, accuracy, and availability across all reporting tools. Optimize and automate reporting processes and data workflows. Required Skills: Strong expertise in BI tools such as Tableau , Power BI , Looker , or similar. Hands-on experience with SQL and data modeling for large datasets. Solid understanding of data warehousing concepts and ETL pipelines. Experience with scripting in Python or similar languages is a plus. Strong problem-solving skills and business acumen.