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Data Platform and Support Engineer

1 month ago

Pune, Maharashtra, India Workday India Private Limited Full time
About the Role

We are seeking a highly skilled Data Platform and Support Engineer to join our team at Workday India Private Limited. As a key member of our data infrastructure team, you will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization.

Key Responsibilities:
  • Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.
  • Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.
  • Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.
  • Develop and implement data quality checks, validation rules, and data cleansing procedures.
  • Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.
  • Design and implement data backup and recovery strategies to safeguard data against loss or corruption.
  • Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.
  • Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes.
  • Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations.
  • Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.
  • Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their professional development.
  • Participate in rotational shifts, including on-call rotations and coverage during weekends and holidays as required, to provide 24/7 support for data systems, responding to and resolving data-related incidents in a timely manner.
About You

We are looking for a highly skilled and experienced Data Platform and Support Engineer with a strong background in designing and building scalable and robust data pipelines. The ideal candidate will have a deep understanding of data infrastructure, data quality, and data security, as well as excellent problem-solving skills and a strong commitment to delivering high-quality support services.

The successful candidate will have a strong technical expertise, with experience in working with large-scale data warehouse and data engineering projects, as well as experience with data processing solutions like AWS Kinesis, Kafka, and Spark Stream processing. Additionally, the candidate will have a solid experience in one or more programming languages for processing of large data sets, such as Python, Scala, and a good understanding of data modeling and data visualization.

We are looking for a team player who is able to work collaboratively with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations. The candidate will also have excellent communication and interpersonal skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.