Responsibilities:
- Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.)
- Architect and build scalable and secure data pipelines, data lakes, and data warehouses to support the storage, processing, and analysis of large volumes of structured and unstructured data.
- Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
- Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization.
- Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards.
- Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients.
- Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines.
Basic Qualifications:
- Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field.
- Minimum of ten years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least 5 years of experience specifically in financial services.
- Strong understanding of the financial services industry capital markets, retail and business banking, asset management, insurance, etc.
- In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
- Experience with SQL, Python, Pyspark or other programming languages used for data transformation, analysis, and automation.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads.
- Ability to work from our Hyderabad, India office at least twice a week
Preferred Qualifications:
- Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
- Experience with Power BI, Tableau or other Reporting and Data Visualization tools
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools
Education/Experience:
- Bachelor's degree in MIS, CS, Engineering or equivalent field.
- Master's degree is CS or MBA is preferred.
- Advanced Data and Cloud Certifications are a plus.
