Google Data Engineer

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