
Senior Data Engineer Job Description
Overview
The Senior Data Engineer will design, develop, and maintain scalable data pipelines and
infrastructure to support data-driven decision-making and advanced analytics. This role requires deep
expertise in data engineering, strong problem-solving skills, and the ability to collaborate with
cross-functional teams to deliver robust data solutions.
Key Responsibilities
Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data
pipelines to ingest, process, and transform large volumes of structured and unstructured data.
Data Architecture: Architect and maintain data storage solutions, including data lakes, data
warehouses, and databases, ensuring performance, scalability, and cost-efficiency.
Data Integration: Integrate data from diverse sources, including APIs, third-party systems,
and streaming platforms, ensuring data quality and consistency.
Performance Optimization: Monitor and optimize data systems for performance, scalability,
and cost, implementing best practices for partitioning, indexing, and caching.
Collaboration: Work closely with data scientists, analysts, and software engineers to
understand data needs and deliver solutions that enable advanced analytics, machine
learning, and reporting.
Data Governance: Implement data governance policies, ensuring compliance with data
security, privacy regulations (e.g., GDPR, CCPA), and internal standards.
Automation: Develop automated processes for data ingestion, transformation, and validation
to improve efficiency and reduce manual intervention.
Mentorship: Guide and mentor junior data engineers, fostering a culture of technical
excellence and continuous learning.
Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high
availability and reliability of data systems.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,
or a related field.
Experience: 5+ years of experience in data engineering or a related role, with a proven track
record of building scalable data pipelines and infrastructure.
Technical Skills:
Proficiency in programming languages such as Python, Java, or Scala.
Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services
(e.g., Redshift, BigQuery, Snowflake).
Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and
data integration frameworks.
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed
systems.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a
plus.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,
Google Professional Data Engineer) or relevant data engineering certifications.
Preferred Qualifica
Experience with real-time data processing and streaming architectures.
Familiarity with machine learning pipelines and MLOps practices.
Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data
pipelines.
Experience in industries with high data complexity, such as finance, healthcare, or
e-commerce.
Work Environment
Location: Hybrid/Remote/On-site (depending on company policy).
Team: Collaborative, cross-functional team environment with data scientists, analysts, and
business stakeholders.
Hours: Full-time, with occasional on-call responsibilities for critical data systems.

About KJBN labs
About
With a strong foundation in technology and a deep understanding of the ever-evolving business landscape, we recognized the pressing need for user-friendly, scalable, and cost-effective SaaS solutions. Driven by this realisation, we embarked on a mission to craft software that seamlessly integrates into diverse industries, catering to their unique requirements and challenges.
Candid answers by the company
Agri tech product
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Data Engineer
Brief Posting Description:
This person will work independently or with a team of data engineers on cloud technology products, projects, and initiatives. Work with all customers, both internal and external, to make sure all data related features are implemented in each solution. Will collaborate with business partners and other technical teams across the organization as required to deliver proposed solutions.
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· Works with Scrum masters, product owners, and others to identify new features for digital products.
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EXPERIENCE:
2 years required; 3 - 5 years preferred experience in a data engineering role.
2 years required, 3 - 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)
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Bachelor’s degree information technology, computer science, or data related field preferred
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Outstanding written and verbal communication skills
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Employee required to problem-solve.
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We are looking for a full‐time Senior .Net Full Stack Developer working on a new enterprise resource planning
application development as well as ongoing support for the application that is already in the production. The
successful candidate will join the existing development and support team. As an experienced .Net Developer, you
will work with a fast‐paced development team within an agile development framework.
Key Responsibilities
The primary objective is the implementation of a new ERP application
Development of framework based on C# and .Net Core with Core, Data, Services, UI Framework, Admin,
Web and Windows layers
Provide TDD methodology and Unit testing for developed functionality
Design and development of Conceptual/Logical/Physical Data Models
Ensuring entire stack is designed and built for speed and scalability
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Collaborate with other developers and participate in peer code reviews to ensure the technical solution
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Enthusiastic about learning, working within, and architecting high impact products.
Strong verbal and written communication skills
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Perform other tasks as necessary and requested by management
Mentor junior developers on development best practices
Programming - C#, T‐SQL, JavaScript, LINQ
Markup Languages - HTML5, XML, JSON
Frameworks - JQuery, Bootstrap, .NET Core, Security,ASP.NET Core MVC
send resume to poojitha.k at championsmail dot com
Database Server - SQL Server
Technologies - .NET Core, ASP.NET Core, ASP.NET Core MVC, REST, Entity Framework Core, LINQ, AJAX, Razor Pages, Rest APIs
BI - SSRS
IDE - Visual Studio 2019
UML - Rational Rose, Visio
Source Code Control - GitHub
OS - Windows
Back End - SQL Server, IIS, VirtualBox, Windows Server,Testing MS Unit, NUnit, xUnit, QUnit
Debugging - Fiddler, Postman
Cloud - Azure (App Service, SQL Databases)
Electronic Data Communication - EDI
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· 3 to 5 years of experience in Software development: |
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· Very proficient in Salesforce lightning Development. |
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· Understanding of relational RDBMS, SQL. |
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· Good to have knowledge on JENKINS or ANT or SFDX dev-ops tools. |
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· Good Understanding of software development life cycle and process. |
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· Very good understanding of Salesforce platform knowledge, like proficient in development of large application in a tenant based architecture. · Demonstrated experience in OOPS concept. Should have good experience in Lightning UI development, Aura framework, and Visual force. · Should be hands on knowledge on working with Java script, HTML, CSS and java script libraries such as JQuery or angular js. · Proficiency in writing SQL and SOQL queries. · Experience in creating and consuming rest based web services using JSON data format. · 2 years of working experience on Force.com platform with working knowledge of APEX, batch apex processing, APEX triggers, process builders, flows and security model. · Good knowledge on SF release build and App exchange is an added advantage. · Good Knowledge on Lightning Web Components (LWC) is an added advantage. |










