
Data Engineer
Role summary
KANINI is seeking a skilled GCP Data Integration Engineer to design, develop, and manage data integration solutions. This role involves building scalable ETL/ELT pipelines, ensuring data quality, and supporting data flow across diverse systems using cloud platforms like GCP. The ideal candidate will have 4-8 years of experience in data integration, proficiency in SQL and Python, and experience with data integration tools. Responsibilities include API integrations, data governance, and collaborating with various teams to deliver effective data solutions that drive strategic insights and operational efficiency.
About The Company
KANINI is a leading technology solutions provider dedicated to transforming businesses through innovative data and cloud services. With a focus on leveraging cutting-edge technologies, KANINI helps organizations optimize their operations, enhance data-driven decision-making, and achieve digital transformation goals. Our commitment to excellence and client satisfaction has established us as a trusted partner across various industries including healthcare, finance, and retail. We foster a collaborative and inclusive work environment that encourages continuous learning and professional growth, ensuring our team remains at the forefront of technological advancements.
About The Role
We are seeking a highly skilled and detail-oriented GCP Data Integration Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and managing robust data integration solutions across diverse systems and platforms. Your expertise will enable seamless data flow within our enterprise architecture, supporting critical business intelligence, analytics, and operational initiatives. The ideal candidate will possess a strong background in data engineering, with hands-on experience in cloud-based data platforms, particularly Google Cloud Platform (GCP). You will work closely with cross-functional teams to ensure data integrity, quality, and security while building scalable, efficient data pipelines that drive strategic insights and operational efficiency.
Qualifications
The ideal candidate will hold a Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. They should have between 4 to 8 years of experience in data integration and data engineering, demonstrating proficiency in ETL/ELT processes and SQL. Experience with data integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi is essential. Strong programming skills in SQL and Python, along with scripting capabilities for automation, are required. Familiarity with cloud data platforms, especially GCP and services like Google Cloud Dataflow, is highly preferred. Additionally, knowledge of REST/SOAP APIs, JSON, XML, and flat file integrations is necessary to succeed in this role.
Responsibilities
Design and develop comprehensive data integration workflows that connect internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Build and maintain scalable ETL/ELT pipelines capable of handling both structured and unstructured data, utilizing tools such as Informatica, Talend, SSIS, or custom scripts in Python and SQL. Develop real-time and batch data pipelines leveraging technologies like Kafka and Spark Streaming to ensure timely data availability for business needs.
Ensure high data quality, accuracy, and consistency throughout the ingestion and transformation processes by implementing validation, cleansing, and deduplication mechanisms. Contribute to data governance initiatives by maintaining metadata, data lineage, and data cataloging practices. Collaborate effectively with data engineers, business analysts, data scientists, and application teams to understand their integration requirements and deliver effective solutions. Troubleshoot and resolve data pipeline issues promptly, providing comprehensive documentation and knowledge transfer to ensure operational continuity.
Support data movement across hybrid environments, including on-premises, cloud, and third-party systems. Work closely with DevOps and platform teams to optimize the scalability, security, and performance of data infrastructure. Maintain a proactive approach to monitoring and optimizing data pipelines, ensuring they meet organizational standards and compliance requirements.
Benefits
KANINI offers a competitive compensation package complemented by a comprehensive benefits program. Employees enjoy health insurance coverage, including medical, dental, and vision plans, along with wellness initiatives. We promote work-life balance through flexible working hours and remote work options where applicable. Our professional development programs include training, certifications, and opportunities for career advancement. Additionally, employees benefit from a collaborative work environment that encourages innovation, continuous learning, and recognition of individual contributions. We also provide a supportive culture that values diversity and inclusion, fostering an engaging and motivating workplace.
Equal Opportunity
KANINI is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that diversity enhances our organization and drives innovation. All qualified applicants will receive consideration for employment without regard to any protected status, and we are dedicated to providing a workplace where everyone can thrive and contribute to our shared success.
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