Data Platform and Support Engineer

4 weeks ago

Pune, Maharashtra, India Workday India Private Limited Full time

About the Role

Workday India Private Limited is seeking a skilled Data Platform and Support Engineer to play a pivotal role in ensuring the smooth functioning of our data infrastructure. 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.

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

Basic Qualifications:

  • 6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
  • BE/Masters in computer science or equivalent is required.

Other Qualifications:

  • 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.
  • Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala.
  • Good to have experience working on Snowflake ,Fivetran DBT and Airflow
  • 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

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