Lead Data Engineer - Operations at Hashlist

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 - Operations in India (FULLY-REMOTE)!

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