While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Lead - Database Engineer
Experience Level: 5 to 8 Years
Location: Mumbai / Bangalore (Hybrid)
Roles and Responsibilities:
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Leverage understanding of the modern AWS Data stack and agile delivery models and demonstrate focus on building business data pipelines.
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Function as senior member of an agile team and help drive consistent development practices, tools usage, common components, and patterns.
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Direct the identification and recommendation of appropriate solutions for large cloud based database schema and workloads for dashboarding and quick query time optimized design.
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Perform hands-on design, development and optimization of queries.
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Work on enterprise-grade data lake/mart projects leveraging the suite of AWS services in data and analytics.
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Ability to speak in business terms, as well as the ability to effectively communicate both internally and externally.
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Works with the team to offer cost-optimized solutions.
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Guide and help developers using best database queries development practices.
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Develop strategies to handle large datasets efficiently and implement data processing techniques to manage and analyze large datasets.
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Ability to clearly communicate technical roadmap, challenges and mitigation.
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Effective communication with all the stakeholders involved.
Skill Set Needed:
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Bachelor's OR Master's degree in Computer Science Engineering or a related field.
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5 to 9 years of relevant work experience with SQL and NoSQL databases.
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Demonstrated problem solving, communication and organizational skills, a positive attitude, and the proven ability to negotiate and influence others to obtain desired results.
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Ability to design, implement, and document data architecture and data modeling solutions,which include the use of relational, dimensional, and NoSQL databases.
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Working knowledge in stabilizing progressive DB environments and building database pipeline for effective feature level deployment on multiple tenants.
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Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
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Experience building and supporting large-scale systems in a production environment.
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Hands-on experience in AWS Cloud with services such as AWS Glue, AWS Athena, AWS EC2,Lambda, S3 for ETL and Catalog, Parquet files.
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Highly proficient with database performance tuning and query optimization.
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Knowledge of backup and recovery strategies.
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Experience using Github/codecommit for developmental activities.
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Experience in building data pipelines using Glue+Athena+S3 would be preferable.
Good to Have:
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Experience working and leveraging multiple cloud services
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Proficient in writing Python/Pyspark, cron jobs and SQL scripts.
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Experience in working on large cloud-based migration workloads involving SQL and NoSQL Databases.
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Understanding of data security practices and database security mechanisms.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!