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Software
As a Senior Data Engineer, you'll focus on data analytics, utilizing Azure Data Services and collaborating on innovative projects to enhance client decision-making.
Top Skills:
Azure Data FactoryAzure DatabricksAzure Sql DatabaseGitPythonSQL
Information Technology • Software
The Data Engineer will design and optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.
Top Skills:
AirflowAws EmrBig DataDatabricksGcp BigqueryHiveKafkaScalaSparkSQL
Artificial Intelligence • Analytics
The Data Engineer will design and implement scalable data solutions, manage data pipelines, and collaborate with teams for analytics while ensuring data compliance and governance.
Top Skills:
Azure Data BricksAzure Data FactoryAzure Data LakeAzure Sql DatabaseDelta LakePl/SqlPythonT-Sql
- Work collaboratively with application development, data protection, information security, and risk management teams to understand and implement data security and management solutions.
- Continuously improve security & observability telemetry services based on input from a diverse network of internal and external stakeholders, and technology teams as well as the IT industry at large.
- Data Management: Define and manage data models, schemas, metadata, and security rules. Design, create, deploy, and manage databases and data structures on premise and in the cloud to fulfill business requirements.
- Threat Analysis: Identify and mitigate potential security risks in the organization's data architecture.
- Compliance: Ensure compliance with data privacy laws and regulations.
- Risk Management: Conduct risk assessments and take appropriate actions to mitigate the risks associated with data security.
- Training and Development: Train and educate stakeholders about our data
- Collaboration: Collaborate with other IT team members, stakeholders, and executives to ensure the security of data architectures.
- Minimum 6+ years of Data Ingestion, Integration, ETL, or security engineering experience with large scale implementations distributed globally
- Extensive knowledge of a globally distributed environment across multiple platforms such as AWS, Azure and GCP
- Data-driven mindset
- Strong understanding of Data Management or Data Engineering
- Strong grounding in data analysis and related processes
- Experienced in Agile methods, experience in Atlassian stack (i.e., JIRA) or related tools
- Ability to Develop roadmaps and the underlying strategies for the data centric products and services
- Experience with standard monitoring frameworks and observability products
- Experience with hybrid environment data sources, data collectors and instrumentation
- Expertise in the use SIEM solutions for basic and advanced detection methods, including cloud-based data sources
- Experience with security monitoring & observability solutions such as Splunk, Sumo, Datadog, New Relic, AppDynamics
- Experience of working with cloud and data security in a DevSecOps/IRE and agile working environments.
- Expertise in at least one scripting language (PowerShell, Python, Bash)
- Experience in container/container orchestration technologies - Docker and Kubernetes
- Experience w/systems configuration orchestration tools - Ansible or Terraform
- Understanding of infrastructure as a code and concepts
- Related security certifications (e.g. CISSP, CCSP, SABSA, ITIL etc.).
- Familiarity and experience with the Splunk SPL query language.
- 3+ years familiarity and experience with Linux / Ubuntu / Mac systems
- Experience in creating dashboards, queries, alerts in Splunk, Data Dog, Sumo
- Experience in troubleshooting issues with Splunk connectivity including, networking, server (windows and Linux), and application tiers.
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
