HYPR4 - Data Lead Engineer - ETL/Data Warehousing

1 day ago

Hyderabad, Telangana, India HYPR4 Cloud Tech Full time ₹ 12,00,000 - ₹ 36,00,000 per year
: 7+ Years

Location : Hyderabad

Job Type : Full-Time

Responsibilities

  • Data Infrastructure & Pipeline Development :
  • Design, develop, and optimize scalable, efficient, and reliable data pipelines for large-scale data processing and transformation.
  • Manage and maintain data architecture, ensuring high availability and performance using tools like Snowflake, Dataproc, BigQuery and other cloud technologies.
  • Lead the integration of data sources from multiple systems, ensuring seamless data flow across various platforms.
  • Build and optimize data pipelines using BigQuery, Snowflake, DBT Cloud, and Airflow.
  • Expertise in Data Modelling to desing and build Data warehouses, Data Marts and Data lakes
  • Manage version control and workflows with GitHub.
  • Performance & Optimization :
  • Perform tuning and optimization of queries and data pipelines to ensure high-performance data systems.
  • Conduct regular performance reviews and recommend improvements or optimizations for system reliability, speed, and cost-efficiency.
  • DBT (Data Build Tool) Implementation :
  • Implement and maintain DBT models for data transformation workflows.
  • Collaborate with data analysts and data scientists to ensure high-quality, well-documented datasets for downstream analysis.
  • Ensure the use of best practices for DBT testing, version control, and deployment.
  • Leadership & Mentorship :
  • Lead and mentor a team of data engineers, ensuring that best practices are followed in development and deployment of data pipelines.
  • Conduct code reviews, provide feedback, and ensure the implementation of high-quality data solutions.
  • Drive collaboration with product teams and business stakeholders to understand data requirements and deliver scalable solutions.

Preferred Skills

  • 10+ years of experience in Data Engineering with a strong focus on data warehousing, ETL pipelines, and big data technologies.
  • At least 3-5 years of hands-on experience with Snowflake data warehouse or BigQuery, including setup, configuration, optimization, and maintenance.
  • Proficiency in SQL for query optimization and performance tuning.
  • In-depth experience with Dataproc for running large-scale data processing workflows(e.g., Spark, Hadoop).
  • Expertise with DBT or any other ELT tool for data transformation and model building.

Technical Skills

  • Strong experience in cloud platforms like AWS, GCP, or Azure, with a focus on data engineering tools and services.
  • Proficient in programming/scripting languages such as Python, Java, or Scala for data processing.
  • Experience with CI/CD pipelines and version control (Git, Jenkins, etc.).
  • Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and related data processing concepts.

Data Architecture & Design

  • Experience with building and maintaining data warehouses and lakes.
  • Strong understanding of data modelling concepts, data quality, and governance.
  • Familiarity with Kafka, Airflow, or similar tools for orchestrating data workflows.

Key skills: GCP/AWS, Python, Terraform, Data Governance & Data Modelling.

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