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Hashlist

Lead Data Engineer - Operations

Early Applicant
  • 29 days ago
  • Be among the first 50 applicants

Job Description

Hashlist is a platform for tech positions & projects within the automotive industry.

We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.

Are you ready to be a part of that journey

We are now looking for a Lead Data Engineer - Noida, India

As Lead Data Engineer - Operations, you'll ensure the smooth operation of our data platforms, acting as the primary interface with management and cross-functional IT teams to enhance operational efficiency through ITIL processes (incident, request, problem, change).

Responsibilities:

  • Oversee a distributed Data Operations team, ensuring data availability, timeliness, and reliability.
  • Lead data monitoring, issue identification, and resolution, with a focus on continuous improvement.
  • Troubleshoot data availability issues, escalate as needed, and communicate with stakeholders.
  • Manage data sourcing connections and data pipeline tasks.
  • Track tasks using ServiceNow, ensuring timely completion.
  • Lead initiatives to improve operational efficiency with data sourcing partners.
  • Ensure compliance with best practices for data security and availability.
  • Collaborate with development teams to understand user impacts of upcoming releases.

Qualifications:

  • 5+ years in data management, integration, or a similar operational role.
  • Bachelor's Degree or equivalent experience.
  • Strong analytical and problem-solving abilities for root cause analysis.
  • Familiarity with Power BI, SQL (Python is a plus), and data integration tools (Azure Data Factory, SSIS, Synapse).
  • Knowledge of data management (permissions, security, monitoring).
  • Experience with cloud platforms (Azure), DevOps, and ServiceNow is a plus.
  • Excellent communication skills and ability to build strong relationships with stakeholders.
  • Experience with offshore teams and eagerness to learn and optimize processes.

Preferred Experience:

  • Data pipelines, transformations, ETL optimizations, and complex SQL.
  • Agile methodologies, CI/CD, and Azure Synapse Spark.
  • Estimating, planning, testing (unit, performance, regression), and production support.

Next steps:

  • Press Apply
  • We will review your application
  • If qualified, you will be accepted into the network, and can be considered for this and similar positions & projects

More Info

Industry:Other

Job Type:Permanent Job

Skills Required

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Date Posted: 30/10/2024

Job ID: 98659173

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