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TechVedika

AI/ML, product engineering, cloud services

Data Engineer Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience engineering and operationalizing data pipelines with large and complex datasets.
  • At least 10 years of hands-on experience with dbt and Informatica Intelligent Cloud Services (IICS).
  • At least 9 years of experience with cloud technologies such as Dataflow, Data Fusion, Pub/Sub, Dataform, dbt, BigQuery, and Cloud SQL.
  • Advanced SQL skills, a solid understanding of relational databases and business data, and the ability to write complex SQL queries against varied data sources.
  • At least 9 years of experience with data modeling, ETL, and data warehousing.
  • A strong understanding of database storage concepts, including data lakes, relational databases, NoSQL, graph databases, and data warehousing.

Responsibilities

  • Lead a Data Engineer team, initially with one offshore member, by providing guidelines, reviewing team members' output, and ensuring its quality.
  • Act as a bridge between the customer and offshore team by presenting solutions to customers, collecting feedback, and clearly transferring requirements and feedback to the team.
  • Lead the project's technical design activities and ensure the resulting work meets or exceeds customer expectations.
  • Build data models and develop data pipelines to store data in defined models and structures.
  • Identify ways to improve data reliability, efficiency, and data-management quality.
  • Assess the integrity of data from multiple sources.
  • Work with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommend ongoing optimization of data storage, data ingestion, data quality, and orchestration.
  • Design, develop, and implement ETL/ELT processes using dbt and Informatica Intelligent Cloud Services (IICS).
  • Use Google Cloud services such as Google Cloud Storage, Cloud Pub/Sub, Cloud Data Fusion, Dataflow, and Dataproc to improve and accelerate delivery of data products and services.

Desired Qualifications

  • Experience with Azure, Dataflow, Apache Beam, and Dataproc.
  • Google Cloud certifications.
  • Experience with Git or Azure DevOps.
  • Experience delivering data solutions using agile software development methodologies.
  • Exposure to the retail industry.
  • Proficiency in Google Workspace applications, including Sheets, Docs, Slides, and Gmail.

About the Company

TechVedika

AI/ML, product engineering, cloud services

TechVedika delivers AI/ML, product engineering and cloud-focused services to global enterprises across manufacturing, BFSI, healthcare, IT, logistics, retail, and media. It helps clients implement data analytics, IoT, digital transformation and hybrid/edge/cloud infrastructure, with a strong GenAI program that covers development, seamless integration and deployment, and model finetuning. The approach combines agile and DevOps to enable fast, high-quality delivery and ongoing improvement. TechVedika differentiates itself through its industry-specific solutions, broad technology stack (AI/ML, IoT, analytics, cloud and edge computing), and a track record of enterprise-scale projects and recognitions. Its goal is to drive digital transformation and sustainable growth for customers by turning advanced technologies into practical, measurable outcomes.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2010

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