Platform Data Engineer
3 days ago
Key Responsibilities - Administer and optimize Azure Databricks, including clusters, jobs, and user access. - Manage Snowflake environments (warehouses, roles/permissions, performance tuning, cost optimization). - Design, implement, and monitor Azure Data Factory (ADF) pipelines for batch and streaming workloads. - Enable data movement and replication across global environments. - Orchestrate pipelines using ADF, Apache Airflow, and automation frameworks. - Automate processes and reduce manual effort with Python, PySpark, SQL, and PowerShell. - Work with Azure Data Lake Storage (ADLS), Function Apps, and Key Vault for secure and efficient data operations. - Ensure compliance with security, governance, and cost management best practices. - Collaborate with Data Engineering, DNA, and Data Science teams to ensure high availability and reliable data delivery. - Troubleshoot platform issues, implement fixes, and contribute to runbooks and documentation. - Partner with architects and engineers to continuously improve platform scalability, reliability, and efficiency.Required Skills and Experience - 5+ years of experience in data platform engineering/administration. - Strong expertise in Azure Databricks, Snowflake, and Azure Data Factory. - Experience on Azure Synapse, Event Hubs, or other Azure data services. - Hands-on experience with data pipelines, orchestration, and automation. - Proficiency in SQL, Python, PySpark, and scripting (PowerShell/Bash). - Experience with Apache Airflow for scheduling and orchestration. - Strong understanding of Azure services including ADLS, Function Apps, Key Vault, Networking, and Monitoring. - Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform/ARM). - Solid knowledge of data governance, security, and cost optimization practicesSoft Skills - Strong problem-solving and analytical skills. - Ability to work independently and in a global, collaborative team environment. - Effective communication skills for technical and non-technical stakeholders. - Proactive and adaptable mindset with focus on continuous improvement.Nice to Have - Experience in DevOps practices for data engineering. - Knowledge of data governance and compliance frameworks (e.G., GDPR, PCI). - Familiarity with agile methodologies (JIRA, Confluence). - Microsoft Azure certifications (e.G., DP-203, AZ-204, AZ-104, AZ-305).
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Data Platform Engineer
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Bangalore Division, India Invokhr Full timeRequired Skills Must be proficient in the major languages such as Scala, Spark, and Kafka (any variant). Write elegant and maintainable code, and be comfortable with picking up new technologies. Proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and near...
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Delhi, India Data-Hat AI Full timeDepartment: Data Engineering & AI Solutions Reports To: Lead Data Solutions ArchitectTravel: International travel required (up to 30–40%)Position Summary: We are hiring a senior-level Data Engineer to lead the design, development, and optimization of high-performance data infrastructure that underpins mission-critical AI systems. With 12+ years of...
