Data integration and analytics engineer

4 days ago

Delhi, India Best Infosystems Ltd. Full time
Data Integration and Analytics Engineer_Full-Time_Pune
Job Title: Data Integration and Analytics Engineer
Job Type: Full-Time
Experience: 3 to 5 years
Job Location: Pune
Skills: Qlik CDC (Change Data Capture), Kafka, Snowflake, Power BI, GCP/Azure
Job Description:
Technical specification:-
*We are seeking a highly skilled and motivated Data Integration and Analytics Engineer to join our dynamic team.
*The ideal candidate will have hands-on experience with Qlik CDC (Change Data Capture), Kafka streaming, Snowflake Data Warehouse as a Service (DWAAS), Power BI reporting, and cloud platforms (GCP/Azure).
*This role will involve designing, implementing, and optimizing data pipelines, real-time data streaming, reporting, and analytics solutions in a cloud environment to deliver business insights at scale.
Key Responsibilities:
Data Integration & CDC:
• Design, implement, and manage Change Data Capture (CDC) processes using Qlik CDC or similar technologies.
• Ensure seamless integration of data from multiple sources into Snowflake and other cloud-based systems.
• Leverage Kafka for real-time data streaming and processing.
Cloud Data Architecture:
• Work with Snowflake on a Data Warehouse as a Service (DWAAS) platform to manage data pipelines and analytics.
• Optimize data storage, transformation, and querying within Snowflake to ensure performance and scalability.
• Collaborate with cross-functional teams to ensure that the data architecture is aligned with the company’s cloud strategy (GCP / Azure).
Reporting & Analytics:
• Develop and optimize Power BI dashboards and reports to deliver actionable insights to business stakeholders.
• Implement best practices in data visualization and ensure data quality, consistency, and accuracy in reports.
• Collaborate with business users to understand reporting needs and provide efficient solutions.
Cloud Platforms:
• Implement and manage data solutions in both Google Cloud Platform (GCP) and Microsoft Azure.
• Build and optimize data pipelines, storage, and compute solutions leveraging native cloud services.
• Ensure secure, scalable, and reliable cloud data architectures.
Collaboration & Optimization:
• Collaborate with data engineers, analysts, and business stakeholders to design and implement end-to-end data solutions.
• Continuously monitor and optimize the performance, reliability, and scalability of data pipelines and reporting solutions.
• Stay updated with industry trends and emerging technologies to enhance the capabilities of the team.
Required Skills & Qualifications:
Experience:
• 3+ years of experience in data integration, analytics, and cloud technologies.
• Hands-on experience with Qlik CDC (or similar CDC tools).
• Experience with Kafka for real-time data streaming and processing.
• Strong expertise in Snowflake and cloud-based data architectures (preferably DWAAS).
• Proficiency in Power BI reporting and dashboard design.
• Familiarity with Google Cloud Platform (GCP) or Microsoft Azure and their data services (Big Query, Data Lake, Azure Synapse, etc.).
Technical Skills:
• Strong SQL skills and experience with relational and cloud data warehouses.
• Expertise in designing and managing ETL/ELT pipelines.
• Familiarity with data transformation tools and scripting languages (Python, SQL, etc.).
• Knowledge of data security, governance, and compliance within cloud environments.
Soft Skills:
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to interact with business users, stakeholders, and cross-functional teams.
• Ability to manage multiple priorities and deliver solutions in a timely manner.
Preferred Qualifications:
• Experience with Apache Kafka or other real-time data streaming platforms.
• Cloud certifications (Google Cloud Professional Data Engineer, Microsoft Azure Data Engineer).
• Experience with other BI tools and data visualization platforms.
• Familiarity with data pipeline orchestration tools like Apache Airflow.

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