01Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines on GCP (BigQuery, Dataflow, Cloud Composer, Pub/Sub, etc.). Build and optimize data models and data marts in BigQuery for analytical and reporting use cases. Ensure data quality, integrity, and security across the data lifecycle. Implement data transformation logic using SQL, Python, and Cloud Dataflow/Dataproc. Collaborate with business and analytics teams to understand data requirements and deliver efficient solutions. Automate workflows and orchestrate pipelines using Cloud Composer (Airflow). Monitor and optimize BigQuery performance and manage cost efficiency. Support CI/CD deployment processes and maintain version control using Git. Work with structured and unstructured data sources (APIs, streaming, flat files, etc.). Develop and maintain data documentation and best practices for data engineering.Mandatory skill sets: Strong expertise in Google Cloud Platform (GCP) services, especially: 1. BigQuery (query optimization, partitioning, clustering) 2. Dataflow / Dataproc / Cloud Composer / Pub/Sub3. Cloud Storage and IAMPreferred skill sets: Exposure to machine learning pipelines or data lakehouse architecture. Experience integrating GCP data with Looker / Tableau / Power BI. Knowledge of Apache Beam, Spark, or Airflow DAGs. GCP Certification (e.g., Professional Data Engineer) is a strong plus.Years of experience required:4 7 yrsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsCloud IAM, Cloud Storage, Google BigQueryOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship NoGovernment Clearance Required NoJob Posting End Date .
