Dear Candidate,
Greetings from TATA Consultancy Services!!
Thank you for expressing your interest in exploring a career possibility with the TCS Family.
Hiring For:- Google Data Engineer
Location: Bangalore/ Chennai/ Hyderabad
Experience: 3-5 years
- Minimum of 3Experience level of 3 to 5 years of relevant experience in data engineering, data warehousing, or a related field.
- Experience with dashboarding tools like plx dashboard and looker studio Experience with building data pipelines, reports, best practices and frameworks.
- Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications).
- Experience with code refactoring for optimal performance.
- Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
- Familiarity with non-relational data storage systems (NoSQL and distributed database management systems).
Skills
- Strong proficiency in SQL, NoSQL, ETL tools, BigQuery and at least one programming language (e.g., Python, Java).
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with data modeling techniques and methodologies.
- Proficiency in troubleshooting and debugging complex data-related issues.
- Ability to work independently and as part of a team.
Responsibilities
- Data Pipeline Development: Design, implement, and maintain robust and scalable data pipelines to extract, transform, and load data from various sources into our data warehouse or data lake.
- Data Modeling and Warehousing: Collaborate with data scientists and analysts to design and implement data models that optimize query performance and support complex analytical workloads.
- Cloud Infrastructure: Leverage Google Cloud and other internal storage platforms to build and manage scalable and cost-effective data storage and processing solutions.
- Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data.
- Performance Optimization: Continuously monitor and optimize data pipelines and queries for performance and efficiency.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and deliver solutions that meet their requirements.
Desirable
- Experience Cloud Storage or equivalent cloud platforms
- Knowledge of BigQuery ingress and egress patterns
- Experience in writing Airflow DAGs
- Knowledge of pubsub,dataflow or any declarative data pipeline tools using batch and streaming ingestion
- Other GCP Services: Vertex AI
