
Job Title: Database Engineer
Location: Bangalore, Karnataka
Company: Wissen Technology
Experience: 5-7 Years
Joining Period: Immediate candidates, Currently Serving, 15-20 days ONLY
About Us:
Wissen Technology is a global leader in technology consulting and development. We specialize in delivering top-notch solutions for Fortune 500 companies across various industries. Join us to work on cutting-edge projects in a collaborative and innovative environment.
Key Responsibilities:
- Develop and maintain ETL processes using the Informatica ETL tool, adhering to best practices.
- Write efficient and optimized SQL queries and manage database operations.
- Create and manage UNIX shell scripts to support automation and database activities.
- Analyze business requirements, propose robust solutions, and implement them effectively.
- Work collaboratively with global teams to deliver high-quality solutions within an Agile framework.
- Leverage JIRA or other ALM tools to maintain a productive development environment.
- Stay updated with new technologies and concepts to address business challenges innovatively.
Required Skills:
- Proficiency in Informatica ETL tools and ETL processes.
- Strong SQL database expertise.
- Advanced hands-on experience with UNIX shell scripting.
- Experience working in Agile methodologies.
- Familiarity with JIRA or similar ALM tools.
- Excellent problem-solving, verbal, and written communication skills.
- Proven ability to collaborate with global teams effectively.
Desired Skills:
- Knowledge of financial markets, payment solutions, and wealth management.
- Experience with Spark scripting (preferred but not mandatory).
Qualifications:
- BTech / MTech/ MCA or any related field
- Candidate needs to be an immediate joiner / serving notice period / 15-20 days
Why Join Wissen Technology?
- Opportunity to be part of a growing team focused on data-driven innovation and quality.
- Exposure to global clients and complex data management projects.
- Competitive benefits, including health coverage, paid time off, and a collaborative work environment.
At Wissen Technology, we value our team members and their contributions. We offer competitive compensation, opportunities for growth, and an environment where your ideas can make a difference!
We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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handle scale from 1 million to 1 billion hits.
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Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.
Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.
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Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.
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Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.
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Perform data analysis required to solve data related issues and assist in the resolution of data issues.
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Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.
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3-6 years of relevant work experience in a Data Engineering role.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience building and optimising data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Strong analytic skills related to working with unstructured datasets.
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Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.
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- Docker and Kubernetes (EKS)
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- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
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- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
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Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
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Education or Equivalent Experience:
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- Certificates of training in associated fields/equipment’s


