Sr. Data Platform Engineer– INTL India
Listed on 2026-01-02
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IT/Tech
Data Engineer, Cloud Computing
Job Description
- 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 Power Shell.
- 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
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- 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 (Power Shell/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 practices.
- Experience in Dev Ops 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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