Big Data Solutions Architect
2 days ago
Inclusion without Exception: Tata Consultancy Services (TCS) is an equal opportunity employer, embracing diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation to create a workforce reflecting the societies we operate in.
Our commitment to Culture and Diversity is reflected in people stories across our workforce and implemented through equitable workplace policies and processes.
TCS is an IT services, consulting, and business solutions organization partnering with many of the world's largest businesses in their transformation journeys for over 55 years.
Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent AgileTM delivery model, recognized as a benchmark of excellence in software development.
TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
We are seeking a Big Data Solutions Architect to join our team. The estimated salary for this role is $120,000 per year.
The ideal candidate will have experience with one or more cloud platforms (Azure Data Lake, AWS S3, GCP BigQuery) and strong programming skills in Python, Scala, or Java.
Additionally, the candidate should be proficient in SQL for data querying and manipulation, familiar with data orchestration tools like Apache Airflow or Azure Data Factory, and have knowledge of big data technologies (Delta Lake, Hive, Kafka).
The candidate will design, develop, and deploy ETL pipelines using Databricks, implement end-to-end data solutions, including ingestion, transformation, and storage, and utilize Apache Spark within Databricks for large-scale data processing.
The successful candidate will optimize Databricks clusters and workflows for performance and cost efficiency, work closely with data scientists, analysts, and stakeholders to understand business requirements, and collaborate with DevOps teams for CI/CD pipeline integration and automation.
Data Governance & Security:
The candidate will implement and maintain data security and compliance measures, ensure data quality and reliability using robust validation techniques, monitor, troubleshoot, and resolve issues in Databricks workflows and pipelines.
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