Department: Service Delivery - Professional Services Are you looking for a challenging role as an Amazon Connect Data Engineer? InterVision Systems Inc. is seeking a seasoned Data Engineer with proven expertise in Amazon Connect to join our dynamic application development team. This is not an entry-level role; we are seeking a professional who has worked extensively in production environments, possesses hands-on experience with complex data engineering tasks, and has demonstrated success in delivering scalable solutions with measurable business impact. In this role, you will lead data initiatives leveraging your deep understanding of Amazon Connect to create custom SQL queries, analyze data, and deliver actionable insights. You will collaborate across teams to optimize the reporting and analysis capabilities built by the Amazon Connect development team, focusing on advanced metrics, KPIs, and data aggregation processes. What We’re Looking For: Significant Professional Experience (Required) : A minimum of 5 years of hands-on technical experience in data engineering , with a strong focus on SQL development and Amazon Web Services (AWS) solutions. Prior work in production environments solving real-world business challenges with robust, scalable solutions. Experience in managing large-scale data pipelines, cross-team collaborations, and performance-critical projects. In-depth knowledge of data structures and flows for CTRs , Agent Events , Contact Lens , and Evaluations . Proven experience extracting, analyzing, and leveraging Amazon Connect data for actionable insights. Proficiency in Athena for querying Amazon Connect data. SQL Mastery : Advanced skills in joins, aggregations, window functions, partitioning, and ranking. Demonstrated ability to write and optimize complex SQL queries in live production systems. AWS Services : Kinesis/Firehose : Strong understanding of data streaming and real-time processing. AWS Glue : Skilled in working with external tables, partitioning, and handling semi-structured data (JSON/Parquet). CloudWatch : Expertise in log analysis, creating and querying CloudWatch Logs Insights, and setting up alarms/metric filters. Lambda : Practical experience building, optimizing, and maintaining Lambda functions. S3 : Deep understanding of storage solutions and cross-account replication. Advanced knowledge of Python (including boto3 for AWS). Experience integrating Snowflake and Lambda solutions. Infrastructure Expertise : AWS CloudFormation, SAM, CDK : Demonstrated ability to manage infrastructure as code and build CI/CD pipelines. Git : Skilled in version control, managing branches, and resolving complex merges in team environments. Data Platforms : Snowflake : Expertise in optimizing queries and large-scale data warehousing. Tableau : Proven ability to create impactful reports and visualizations for stakeholders. What You’ll Bring: Problem-Solving Acumen : The ability to design innovative solutions for complex data engineering challenges. Demonstrated Impact : A history of delivering measurable business results through data engineering. Advanced Skillset : A mastery of tools and technologies that exceeds foundational knowledge, applied in production. Independent Leadership : The ability to thrive in high-impact, fast-paced environments without requiring extensive mentorship. Not a Fit If: You are a recent graduate or transitioning into data engineering from another field without direct experience. You lack substantial hands-on expertise in Amazon Connect or AWS services. #J-18808-Ljbffr InterVision Systems
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