Data Engineering Lead
at A fast-growing SaaS commerce company permanent WFH & Office
What is the role?
You will be responsible for building and maintaining highly scalable data infrastructure for our cloud-hosted SAAS product. You will work closely with the Product Managers and Technical team to define and implement data pipelines for customer-facing and internal reports.
Key Responsibilities
- Design and develop resilient data pipelines.
- Write efficient queries to fetch data from the report database.
- Work closely with application backend engineers on data requirements for their stories.
- Designing and developing report APIs for the front end to consume.
- Focus on building highly available, fault-tolerant report systems.
- Constantly improve the architecture of the application by clearing the technical backlog.
- Adopt a culture of learning and development to constantly keep pace with and adopt new technolgies.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
- Education - BE/MCA or equivalent
- Overall 8+ years of experience
- Expert level understanding of database concepts and BI.
- Well verse in databases such as MySQL, MongoDB and hands on experience in creating data models.
- Must have designed and implemented low latency data warehouse systems.
- Must have strong understanding of Kafka and related systems.
- Experience in clickhouse database preferred.
- Must have good knowledge of APIs and should be able to build interfaces for frontend engineers.
- Should be innovative and communicative in approach
- Will be responsible for functional/technical track of a project
Whom will you work with?
You will work with a top-notch tech team, working closely with the CTO and product team.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.
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Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience
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Knowledge of React/Vue, HTML, CSS
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Experience building and consuming APIs
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Experience with MySQL, MongoDB and MEAN stack
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Knowledge and experience with serverless architectures is a plus
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Hands-on experience with AWS or any major cloud service provider for deploying solutions
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Experience with Docker or Kubernetes in deploying solutions on the cloud
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Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
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Approaching potential leads and them within a stipulated time frame.
Create exclusive distributors, exclusive business associates for the company towards business growth.
REQUIREMENTS:
Bachelor’s degree in business, marketing or related field.
Experience in sales, marketing or related field.
Strong communication skills and IT fluency.
Ability to manage complex projects and multi-task.
Location : Gulbai tekra Ahmedabad
Salary upto 25k
Any graduate
Only female candidate
Ahmedabad based candidate
Technical Proficiency:
Experience in leading self-service offering to business users. Tableau experience in Architecture, Administration and development is must.
- Experience in supporting and administration of middleware software systems in an enterprise setting. Excellent troubleshooting skills in a complex enterprise environment.
- Hadoop / Big Data domain experience is required, as is exposure to ecosystem technologies such as Hive, Impala and Spark.
Data Warehouse/ETL design and development methodologies knowledge and experience required - Scripting experience in Linux shell scripting and Python.
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Experience with developing frameworks and utility services including logging/monitoring
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o Lead the team on Strategic BI and Big Data Governance.
o Excellent organization skills, attention to detail
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Education:
Must have experience / knowledge in Cluster Management Frameworks(e.g., Spark), Kafka,ElasticSearch, Docker, Kubernetes and database, build-and-test(preferred).
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SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
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- You are a well-organized self-starter with excellent communication skills
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About SteelEye Culture:
- Flexible work hours
- Excellent salary exceeding industry standards
- Flexible WFH schedule
- 30+ holidays in a year
- Measured on output and not input
- Regular team outings and drinks!
Diversity/equal opportunity statement
We want our Employees to work in a discrimination-free environment. These are not just words on a page. They are part of our commitment to creating a better version of ourselves and the society we live in.