Data Manager
India
Bounteous
We co‑innovate with the world’s most ambitious brands to create transformative digital experiences. Learn more about our work and our unique co-innovation model.Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.
Play an architect role in helping our fortune 500 clients succeed by leveraging their data to make smarter decisionsWork closely with clients and key business stakeholders to understand use cases, objectives and KPIs they want to track/optimize using data and analyticsProvide end to end solutions across data integration/pipeline using cloud native solutions, database/data warehouse architecture, data engineering - data analysis, analytics and insights etc..Implement core parts of solutions with the best design using technologies such as SQL, Python, RDS and Redshift on AWS, and data visualization toolsDive deep into technical requirements with engineering team while also determining how best to package and present the data to all business stakeholders for the best outcomeAnalyze customer requests and ask relevant queries on the requirements and clarify before starting developmentYou will have to be proactive in foreseeing any risks in the delivery and pre-handle it with the customer to avoid any escalationLead and mentor team of data engineers and bring them up to speed
Information Security Responsibilities
- Awareness on information security measures such as acceptable use of information assets, malware protection, password security
- Understand and report security risks and how they impact the confidentiality, integrity, and availability of information assets
- Understand how data is stored, processed, or transmitted from a Data privacy and protection standpoint
Skills Required
- Should have working experience in one of RDBMS data stores like Oracle, MySQL, Redshift and one of NoSQL data stores like HBase, Mongo, Cassandra etc..
- Strong ETL skills and expertise to build Data Services in Amazon Web Services
- Able to build end-applications using Nifi, Kafka, etc..
- Implement and support efficient reliable data pipelines to move data from a wide variety of data sources to data marts / data lake
- Implement data aggregation, cleansing and transformation layers
- Ability to build Data Ingestion frameworks taking into security, account access patterns, scalability, response time and availability
- Experience in Big data integration and stream processing technologies using Apache Kafka, Kafka Connect (Confluent), Apache NiFi, Spark, Hive
- Experience working on writing Pub - Sub APIs, developing Kafka Streams, Kafka connect, KSQL
- Developing new processors within Apache NiFi and establishing new data flows/troubleshooting existing data flows to the various hardware instances associated with the different data platforms
- Experience with serialization such as JSON and/or BSON
- Understanding / Experience of working with Hadoop Clusters
- A strong Java/Spring application background and experience on developing in a microservices architecture is good to have
- Experience in Reporting Analytics tools is also good to have.
Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.
Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.
In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous community.
Bounteous is willing to sponsor eligible candidates for employment visas.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Big Data Cassandra Data analysis Data pipelines Data visualization Data warehouse Engineering ETL Hadoop HBase Java JSON Kafka KPIs Microservices MySQL NiFi NoSQL Oracle Pipelines Privacy Python RDBMS Redshift Research Security Spark SQL
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