Lead Cloud Engineer

Posted 10 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Consulting
The Role
Lead development of resilient, high-performance data pipelines using Databricks and PySpark to load data into Google Cloud. Create Python and PySpark scripts, validate source-to-target data, troubleshoot and rerun workflows, and deliver enhancements for custom requirements. Lead developers through code reviews and quality assurance while collaborating with distributed teams, communicating project status and risks, and ensuring reliable execution of enterprise ETL processes.
Summary Generated by Built In


This job involves creating data pipelines using a configurable framework (developed using Databricks / pyspark), which are used to load data from multiple sources to Google Cloud. It also involves extensive collaboration with other team members (India & USA) to follow a plan, execute workflows, ensure data load accuracy and debug in case of issues.

Essential Responsibilities

• Understand the overall requirement and create & execute resilient and high performant data pipeline jobs, developed in Databricks / PySpark

• Understand data and its relation / significance from a business perspective

• Create custom scripts in python / pyspark

• Minor development and enhancement activities as needed to handle new / custom requirements

• Validate data between source and target & highlight issues and rerun jobs as needed

• Lead other developers, review their code and ensure quality & optimal code is being delivered

• Provide regular updates on the tasks, status and risks to project manager

 



Requirements

• Bachelor’s degree from a reputed university

• 7 to 12 years overall experience

• Excellent SQL / data knowledge (6+ years) in creating complex SQL queries, Stored Procedures etc.

• Experience in developing enterprise grade ETL applications (any tool)

• Experience in Google BigQuery or any cloud database

• Working knowledge in Pyspark, Dataproc/Apache Spark, Airflow, Iceberg

• Good communication and positive attitude

• Attitude to take ownership and drive tasks without follow-ups

 

Good to have

• Knowledge in Starburst, DBT

• Knowledge in US Healthcare domain

• Knowledge in Agile



Skills Required

  • Bachelor's degree from a reputed university
  • 7 to 12 years of overall experience
  • 6 or more years of SQL and data experience, including complex queries and stored procedures
  • Experience developing enterprise-grade ETL applications using any tool
  • Experience with Google BigQuery or another cloud database
  • Working knowledge of PySpark, Dataproc or Apache Spark, Airflow, and Iceberg
  • Good communication skills and a positive attitude
  • Ability to take ownership and drive tasks independently
  • Knowledge of Starburst and dbt
  • Knowledge of the US healthcare domain
  • Knowledge of Agile
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The Company
HQ: Chicago, IL
600 Employees
Year Founded: 2016

What We Do

Blackbuck Insights is a global data and AI consultancy providing data engineering services, cloud modernization, AI activation, and platform operations. The company helps enterprises modernize legacy environments, migrate and scale data platforms, build AI-enabled business applications, and establish trusted data foundations for analytics and intelligent decision-making. Its services support organizations seeking reliable, performant, and scalable technology solutions.

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