phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K

Description

  • Design, develop, deploy, and own end-to-end data solutions and pipelines for enterprise clients.
  • Translate business requirements into technical architectures, integration patterns, and data models.
  • Ensure production solutions meet performance, security, reliability, and scalability requirements.
  • Deliver client engagements on time, within scope, and with measurable business value.
  • Collaborate with engineering, analytics, platform, architecture, and client teams.
  • Provide technical leadership in design reviews, code reviews, proof-of-concepts, and implementation workshops.
  • Maintain delivery quality through testing, documentation, governance, and change management.
  • Develop reusable accelerators, templates, playbooks, architectures, and operational runbooks.
  • Mentor peers and share knowledge through internal communities of practice.
  • Partner with practice and account leaders to improve delivery and expand engagements.

Requirements

  • 4+ years of experience as a Software Engineer and/or Data Engineer building production-grade data solutions.
  • Bachelor’s degree in Computer Science or a related field.
  • Programming expertise in Python and/or Scala.
  • Strong SQL skills, including writing, debugging, and optimizing complex queries.
  • Hands-on experience with Snowflake, AWS, Azure, and/or Databricks.
  • Experience delivering projects in a professional services or consulting environment.
  • Strong English-language client-facing communication and technical presentation skills.
  • Experience creating solution documentation, including POCs, roadmaps, diagrams, and system views.
  • Ability to work effectively in distributed, cross-functional teams and manage multiple priorities independently.
  • Preferred experience with cloud storage, streaming, integration, orchestration, transformation, and pipeline tools such as S3, ADLS, Spark, Kafka, Fivetran, dbt, Airflow, and NiFi.
  • Experience with multiple data sources, data-intensive application lifecycles, and global or remote teams is preferred.
  • Role is based in India and requires availability primarily during India business hours, with flexibility for global collaboration.

Benefits

  • Remote-first workplace.
  • Medical insurance for employees and families, including parents.
  • Term life and personal accident insurance.
  • Wellness allowance and broadband reimbursement.
  • Paid certifications and professional development allowance.
  • Continuous learning, mentorship, and structured growth opportunities.
  • Bonuses for creating company-approved content.

Interested in this position?

Apply directly on the company website

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