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Big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional database systems. The threshold at which organizations enter into the big data realm differs, depending on the capabilities of the users and their tools. Here are the top 10 Big data architect jobs for you to apply for in August 2022.
Location: Mumbai, Maharashtra, India
As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate for your customers in the field. You will help the customers to achieve tangible data-driven outcomes through the use of the Databricks Lakehouse Platform, helping data teams complete projects and integrate the platform into their enterprise Ecosystem.
Apply here.
Location: Chennai, Tamil Nadu, India On-site
The applicants for the job will have to translate business use cases across all products into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. It is their duty to define the data architecture framework, standards, and principles, including modeling, metadata, and security. Their responsibility also includes the evaluation of tools/software required for the development of the data platform by conducting proofs-of-concept. They will have to build logical and physical data models in a sustainable, scalable manner and Design various ETL processes defining data flows across data stores/systems.
Apply here.
Location: Bengaluru, Karnataka, India Hybrid
The applicants for this job should have the ability to connect and correlate data points from the different systems to draw strategic insights. They will have to collaborate with cross-functional teams to understand data relationships and usage patterns. They must perform benchmarking/stress tests and document the best practices for different applications whenever required. It's their responsibility to proactively monitor system performance and do capacity planning.
Apply here.
Location: Noida, Uttar Pradesh, India
The applicants for this job will have to have demonstrated experience in enterprise data management technology and strategies, well-versed with cloud options for Analytics Platforms and data storage. They must have a strong capability in statistical/Mathematical modeling or Machine Learning or Artificial Intelligence. It is important for them to have skills in programming for the implementation and deployment of algorithms preferably in Statistical/ML-based programming languages in Python.
Apply here.
Location: Bengaluru, Karnataka, India Hybrid
The applicants for the job are responsible for developing and implementing best practices within the data management, data architecture, and organization strategies to maximize the usefulness and value obtained from company data. They will have to develop a reference data/information architecture for Expedia and enforce data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs. It is their duty to lead the discussions and analysis of the legacy applications to identify the necessary technical capabilities and patterns to enable the applications.
Apply here.
Location: Bangalore Urban, Karnataka, India
In your role as a Data Architect, you make the impact we have on our customers measurable. You work for leading brands within the Valtech, BFSI practice and feel at home in a challenging, international environment in which you collaborate with other experts and support them.
Apply here.
Location: Pan India
The applicants for this job should have a good understanding of Bigdata ecosystems, ETL, Data Warehousing, and CI/CD concepts. Analysis, Design, and Architecture of Data Management Systems are their responsibilities. They should also have prior development experience in SCALA, PySpark, Hadoop, Hive, and Apache Spark Frameworks. The candidates will have to work on query languages such as Oracle SQL, Hive SQL, Spark SQL, Impala, and HBase DB. They must also have good communication and customer management skills.
Apply here.
Location: Bengaluru, Karnataka, India On-site
The applicants for this job will design scalable, secure, and sustainable solutions. They should be familiar with data engineering practices like storage services and data retention/compliance. They must also be responsible for data integration and transformation, batch/stream data integration approaches, security and access policies, performance, and monitoring. The applicants are required to have knowledge of programming/scripting (Python/R) and some implementation of data ingestion, modeling and data rules, and data quality controls.
Apply here.
Location: Chennai, Tamil Nadu, India Hybrid
The applicants for this job should communicate and provide thought leadership in data strategy, technologies, and engineering to business and IT leadership teams and stakeholders. They should provide a vital function in bridging the gap between business and technology. They will have to work in partnership with Product Owner(s), Stakeholders, and other Subject Matter Experts. It is also their responsibility to work with technologies such as Cloud data warehousing, Data lakes, Analytical platforms, and solutions. They should be able to define the modern data ecosystem, considering current and futuristic data needs.
Apply here.
Location: Bengaluru, Karnataka, India On-site
The responsibility of the candidates for this job is to design, deliver and own the transition state architecture. They must collaborate with Platform teams (Data Lake, Analytics platform & MDM) and contribute to the target state definition. They will have to assess data & analytics workloads in the pipeline and provide recommendations for transition to the target state. They are supposed to innovate with new approaches to data modeling that meet and exceed the functional requirements as presented by business stakeholders. In this way, they will effectively communicate and liaise with other data management teams embedded across the organization along with data consumers in data science and business analytic groups.
Apply here.
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