Google Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services in Bengaluru is seeking a data engineer with 3–5 years of experience to design and implement scalable data pipelines and data warehousing solutions.

You will work with SQL/NoSQL, BigQuery, ETL tools, and Python/Java, building dashboards and reports, ensuring data quality, and collaborating with data scientists and analysts.

The role emphasizes cloud infrastructure on Google Cloud and best practices for scalable analytics in a fast-paced team.

Qualifications

• 3–5 years of experience in data engineering or data warehousing.
• Experience building data pipelines and dashboards, with best practices.
• Proficient in SQL/NoSQL, ETL tools, and BigQuery; programming in Python or Java.

Responsibilities

• Data Pipeline Development: Design, implement, and maintain robust data pipelines to load data into warehouses or data lakes.
• Data Modeling and Warehousing: Collaborate with data scientists to design data models for analytics workloads.
• Cloud Infrastructure: Leverage Google Cloud and internal storage for scalable data storage and processing.
• Data Quality Assurance: Implement checks and monitoring to ensure data accuracy and consistency.

Skills

SQL

NoSQL

ETL tools

BigQuery

Python

Java

Data modeling

Data structures

Tools

plx dashboard

Looker Studio

Job description

• Experience level of 3 to 5 years 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.