Are you a data-driven individual passionate about building the future of technology? Bengaluru, the "Silicon Valley of India," is booming with exciting opportunities for talented data engineers. If you're ready to join the forefront of innovation, then this is the perfect time to explore the plethora of data engineer positions available in Bengaluru.
Company: IBM
Responsibilities: As a Big Data Engineer, your role will involve developing, maintaining, evaluating, and testing big data solutions. Your primary responsibilities will include designing, building, optimizing, and supporting new and existing data models and ETL processes based on our clients' business requirements. Additionally, you will be tasked with building, deploying, and managing data infrastructure capable of effectively meeting the needs of a rapidly expanding data-driven organization. Furthermore, you will coordinate data access and security to facilitate easy access to data for data scientists and analysts as per their requirements.
Company: Genpact
Responsibilities: In this role, your responsibilities will involve interacting with end users and business analysts to comprehend requirements and developing SQL-based data processing pipelines, encompassing SQL functions, tables, and views. You will also be responsible for implementing established technology best practices and guidelines, creating data validation rules on source data to ensure correctness and/or expected values, and conducting data profiling of source data to identify quality issues, anomalies, embedded business knowledge, natural keys, and metadata information.
Company: TCS
Responsibilities: The job entails developing big data pipelines in the cloud using Apache Spark and performing intricate data transformations through Spark SQL queries. It also involves orchestrating data pipelines using Apache Airflow, utilizing Linux commands and Bash Scripting, and working with relational and/or MPP databases. Strong verbal and written communication skills are essential, along with the ability to collaborate effectively across internal and external organizations, virtual teams, and with 3rd party clients and technology partners.
Company: VISA
Responsibilities: The role of a Data Engineer involves deep expertise in building large-scale data processing systems using the latest database and data processing technologies. This position is pivotal in enabling data platforms for Data Scientists, Analysts, and BI Users to drive solutions for Visa clients. Additionally, it serves as a bridge between local end-users and Visa Technology colleagues in San Francisco, influencing the development of global data platforms while provisioning local tools and technologies as required. The Data Engineer takes on the responsibility of constructing and managing data pipelines, as well as designing data warehouses and data frameworks.
Company: Meesho
Responsibilities: The role involves managing, maintaining, and monitoring numerous NoSQL database clusters to meet SLAs, encompassing both in-house and SaaS solutions in the Public cloud or 3rd party environments. This includes diagnosing, mitigating, and communicating database-related issues to relevant stakeholders, as well as designing and implementing best practices for planning, provisioning, tuning, upgrading, and decommissioning database clusters. Additionally, the position requires understanding the cost optimization aspects of these tools/softwares, implementing cost control mechanisms, and driving continuous improvement.
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