Data Platform and Support Engineer

2 weeks ago

Pune, Maharashtra, India Workday India Private Limited Full time

About the Role

Join a pioneering organization at the forefront of technological advancement, dedicated to leveraging data-driven insights to transform industries and drive innovation.

We are actively seeking a skilled Data Platform and Support Engineer who 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. As a Data Platform and Support Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications.

You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems. You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity. This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services.

Job Responsibilities:

Monitor the health and performance of data systems, including databases, data warehouses, and data lakes. Respond to data-related incidents, troubleshoot issues, and resolve them in a timely manner, including participation in on-call rotation shifts. 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 troubleshooting guides for data systems and processes. Collaborate with cross-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. Provide training and mentorship to junior team members, sharing knowledge and best practices to support their professional development. Participate in rotational shifts to provide 24/7 support coverage for data systems, including weekends and holidays as required. Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.

About You

Qualifications:

6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business. ​Prior experience with CRM systems (e.g. Salesforce) is desirable Experience building analytical solutions to Sales and Marketing teams. Experience with very large-scale data warehouse and data engineering projects. Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc. Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala. Good to have experience working on Snowflake and/or Databricks. Ability to create data models, STAR schemas for data consuming. Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues BS/MS in computer science or equivalent is required

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