Google Data Engineer

We are an Artificial Intelligence (AI) focused product engineering company , providing our customers in healthcare, retail & e-commerce, manufacturing and hospitality sectors with cutting edge products & solutions, harnessing Big Data Analytics, Vision Analytics, and IoT.

Ever since our inception in March 2010 , Tech Vedika has been

• Great Place To Work Certified™(Feb 2025- Feb 2026) Organization
• Top 50 I Mid-Size India’s Best Workplaces for Women 2022 !
• Top 10 Most Disruptive Face & Image Recognition Solution Providers’2020 – Analytics Insights
• Top 10 Healthcare Analytics Solution Providers’ 2019 - Healthcare Outlook Magazine
• Top 20 most amazing AWS Service Providers – CIO Review India 2018

We strive for simple, elegant tech solutions to perform complex tasks.

As a scalable technology partner, we enable organisations to improve operational efficiency and unleash new business potential.

Data Engineers lead is responsible for leading a team in offshore (Viet Nam, India) to developing and operationalizing data pipelines to make data available for consumption (reports and advanced analytics).

This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and engaging with DevOps Engineer during CI/CD.

The role requires leading skills and grounding in programming and SQL, followed by expertise in data storage, modeling, cloud, data warehousing, and data lakes, ETL tools.

The Data Engineer Lead will work closely with customer Data Architects, Data Scientists and BI Engineers to design and maintain scalable data models and pipelines.

Data engineer lead will transfer requirements to the offshore team, lead the team to ensure the project delivers high quality products to customers.

The Data Engineer Lead also spends time developing data pipelines and/or data integrations stack.

Job Duties/Essential Functions

• Leads DE team with one offshore member but can ramp-up sooner. This includes providing guidelines for team members, reviewing output, and the quality of team members.
• Work as bridge between customer and offshore team. Present solution to customer, get feedback work with team to update accordingly, as well as transfer requirement, feedback from customer in a clear manner.