Google Data Engineer

Posted 4 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Information Technology
The Role
Lead an offshore data engineering team to design, build, and operationalize scalable data pipelines and models. Implement ETL/ELT with dbt and IICS, use Google Cloud data services, ensure data quality and optimization, and act as customer–offshore technical liaison.
Summary Generated by Built In
Company Description

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.

Job Description

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. 
● Lead technical design activity from project team, ensure the output, quality meet, exceed customer’s 
expectation. 
● Build data models and develop data pipelines to store data in defined data models and structures.
● Identifies ways to improve data reliability, efficiency and quality of data management.
● Assesses the integrity of data from multiple sources.
● Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data 
pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and 
orchestration.
● Designs, develops, & implements ETL/ELT processes using Dbt (Data build tool), Informatica 
Intelligent Cloud Services (IICS).
● Uses Google Cloud Google cloud services such as Google Cloud Storage, Cloud Pub/Sub, Cloud 
Data Fusion, Dataflow, Dataproc… to improve and speed up delivery of data products and services.
Experience, Skills, Education & Licenses/Certifications
Required:
● 5+ years’ experience engineering and operationalizing data pipelines with large and complex 
datasets.
● 5+ years’ hands-on experience with DBT and IICS.
● 4+ years’ experience working with Cloud technologies such as Data flow, Data Fusion, Pub/Sub, 
Dataform, dbt, Bigquery, Cloud SQL
● Advanced SQL skills required. Solid understanding of relational databases and business data; ability 
to write complex SQL queries against a variety of data sources.
● 4+ years’ experience with Data Modeling, ETL, and Data Warehousing.
● Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, 
data warehousing).
● Azure experience is a plus. 
 

Qualifications

Recommendation: 
● Google data cloud certifications. 
● Experience with Git/Azure DevOps.
● Experience delivering data solutions through agile software development methodologies. 
● Exposure to the retail industry.
● Excellent verbal and written communication skills.
● Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail

Additional Information

At Tech Vedika, we are looking for talented individuals who want to work with driven people. Attain success while working on interesting projects with a culturally diverse group of individuals.

Perks & Benefits of joining TechVedika:

  • Growth driven - an opportunity to learn new skills, and certifications sponsored by the company
  • Group Insurance
    • Health Insurance (Including spouse and children)
    • Accidental Life Insurance
    • Group Life Insurance
    • Parental Health Insurance (Optional)
  • Meal Vouchers 
  • Learning Aids
  • Work on projects that have a huge impact - work with clients all over the world.
  • Latest tools and technology - always driven by the latest, most efficient ways of working
  • Process-driven, quality-oriented work

If you want an exciting and dynamic career with unlimited growth potential, then Tech Vedika is the place for you!

Skills Required

  • 5+ years engineering and operationalizing data pipelines with large and complex datasets
  • 5+ years hands-on experience with dbt and Informatica Intelligent Cloud Services (IICS)
  • 4+ years working with Google Cloud data technologies (Dataflow, Data Fusion, Pub/Sub, Dataform, BigQuery, Cloud SQL, Dataproc)
  • Advanced SQL skills; ability to write complex queries against diverse data sources
  • 4+ years experience with Data Modeling, ETL, and Data Warehousing
  • Strong understanding of database storage concepts (data lake, relational, NoSQL, graph, data warehousing)
  • Leadership experience: leading offshore teams, reviewing deliverables, and transferring requirements
  • Grounding in programming and software development practices (CI/CD collaboration with DevOps)
  • Google data cloud certifications
  • Experience with Git and Azure DevOps
  • Experience delivering data solutions via agile software development methods
  • Exposure to the retail industry
  • Excellent verbal and written communication skills
  • Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail)
  • Azure experience
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The Company
HQ: Hyderābād
247 Employees
Year Founded: 2010

What We Do

We are an Artificial Intelligence (AI) and Amazon Web Services (AWS) focused Services Company providing Innovative Technology Solutions to our customers. We have helped organizations build cutting-edge solutions and offer consulting services in a range of market verticals including Supply Chain & Logistics, Retail, Manufacturing and Healthcare harnessing AI/ML, Computer Vision, IoT, and Hybrid/Cloud/Edge infra. TechVedika is a Certified AWS Services Partner with vast experience in managing cloud environments. Our cloud practice offers profound expertise in AWS and all leading cloud technologies. We strive for simple, elegant tech solutions leveraging state-of-the-art and upcoming advances in technologies/platforms/architectures combined with a proven track record in delivery using Agile and DevOps. Our global clients include early-stage start-ups to medium and large enterprises. As a scalable technology partner, we enable organizations to improve operational efficiency and unleash new business potential. Awards & Recognitions: - Great Place to Work-Certified™ May 2023-May 2024 - Great Place to Work-Certified™ May 2022-May 2023 - 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 - Top 100 Mobile App development vendors India – Silicon India 2013

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