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Data Manager

Data Manager

1 Month ago • 6-8 Years

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

java

cassandra

microservices

amazon-web-services

spark

nosql

data-visualization

aws

python

sql

json

hadoop

hbase

apache-kafka

mysql

Job Description

As a Data Manager, you'll play a key architect role in leveraging data for Fortune 500 clients, driving smarter decisions. You'll collaborate with stakeholders to understand use cases and KPIs, delivering end-to-end solutions across data integration, architecture, engineering, analysis, and insights. You'll have expertise in RDBMS, NoSQL, ETL, AWS, Kafka, NiFi, Spark, and data visualization.

Must have:

RDBMS experience
NoSQL experience
Strong ETL skills
AWS expertise

Good to have:

Java/Spring
Microservices
Reporting Analytics
Hadoop Clusters

Perks:

Team Member Networks
Equal Opportunity Employer

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Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven methodology of collaborative partnership.

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 decisions

Work closely with clients and key business stakeholders to understand use cases, objectives and KPIs they want to track/optimize using data and analytics

Provide 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 tools

Dive 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 outcome

Analyze customer requests and ask relevant queries on the requirements and clarify before starting development

You will have to be proactive in foreseeing any risks in the delivery and pre-handle it with the customer to avoid any escalation

Lead 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.

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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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