Digital : Google Data Engineering

TCS Hiring !!

About the Role:

Role: Digital : Google Data Engineering

Experience: 4-7 Years

Location: TCS - Bangalore||TCS - Hyderabad

Responsibilities

• Please read Job description before Applying
• NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Qualifications

• Name:
• Contact Number:
• Email ID:
• Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
• Current Organization Name:
• Total IT Experience:
• Location: Chennai/Kolkata/Hyderabad/Pune/Bangalore/Nagpur
• Current CTC:
• Expected CTC:
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• Whether worked with TCS - Y/N

• 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).
• Big Query,Data Flow,Data Proc,Cloud Sql,Teraform etc
• 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.
• Build large scale data and analytics solutions on GCP, Efficiently use the GCP platform to integrate large datasets from multiple data sources, analyse data, data modelling, data exploitation/visualization, DevOps, CI/CD implementation Build automated data pipelines and work in Data engineering solution on GCP using Cloud BigQuery, Cloud DataProc,
• 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