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Valuelabs
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Data Platform Engineer

Data Platform Engineer

Valuelabs

5 - 10 years

22 - 30 Lacs

hyderabad

Posted:7 hours ago| Platform:

Apply

Skills Required

ci cd pipeline data lake aws data platform python scala

Work Mode

Hybrid

Job Type

Full Time

Job Description

Data Platform Engineer:

Key Position Responsibilities

Work with the Data Platform team to design, implement, and maintain scalable, secure, and resilient data platform solutions.
Deliver solutions that meet requirements within agreed timeframes, ensuring quality and desired outcomes.
Develop and manage data platform infrastructure using CI/CD pipelines and automation tools.
Support and manage key data platform services, such as data lakes, data warehouses, stream processing, data transformation, data integration, data quality, and analytics tools. Enable consuming teams within Enterprise Data to effectively utilise these services.
Collaborate with the Cloud team to ensure alignment with best practices while managing AWS cloud services consumed by Enterprise Data, including AWS accounts, object storage, containerised applications, relational databases, and database migration services.
Collaborate with the data governance team to enhance data security, quality, and regulatory compliance practices.
Partner with vendors and the Cloud team to define operational resilience targets, manage risks, and develop controls, procedures, and playbooks for key data platform services, ensuring alignment with observability and alerting standards.
Adhere to established incident management and reporting procedures and escalate issues to senior managers as necessary.
Stay informed about industry trends, emerging technologies, and market changes in data platforms and cloud services.

Skills, Qualifications, Experience:

Minimum 2 years of experience in a data platform, cloud, or devops role
Able to work independently, self-organise, scope work and adapt to changing requirements
Excellent communication and interpersonal skills both written and verbal including the ability to present to both technical and non-technical stakeholders
At least 2 years experience in a programming language (Python, Golang or Scala are a plus)
Strong understanding and/or experience in core AWS services as well as relational databases (RDS) and Kubernetes (EKS)
Experience with at least one data lake or warehousing solution (e.g. Databricks, Snowflake, Redshift), or stream processing/analytics tools (e.g. Kafka, Flink)
Proficiency in IAC and CI/CD tools like Terraform, Buildkite and Github Actions
Experience with orchestration frameworks such as Airflow and/or DBT
Experience integrating core data management services with BI tools (e.g., Tableau), data science frameworks (e.g., SageMaker, MLFlow, TensorFlow), and integration platforms (e.g., Segment, Salesforce Data Cloud)
Experience in incident and issue management
Committed to ongoing learning and development

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Data Platform Engineer