Job Summary: We are looking for a Senior Data Engineer who is creative, collaborative, and adaptable to join our agile team of data scientists, engineers, and UX developers. The role focuses on building and maintaining robust data pipelines to support advanced analytics, data science, and BI solutions. As a Senior Data Engineer, you will work with internal and external data, collaborate with data scientists, and contribute to the design, development, and deployment of innovative solutions. Key Responsibilities: Design, develop, test, and maintain optimal data pipeline and ETL architectures. Map out data systems and define/design required integrations, ETL, BI, and AI systems/processes. Prepare and optimize data for predictive and prescriptive modeling. Collaborate with teams to integrate ERP data into the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. Develop and curate data models for analytics, dashboards, and reports. Conduct code reviews, maintain production-level code, and implement testing approaches. Monitor, troubleshoot, and resolve data ingestion workflows to maintain reliability and uptime. Drive innovation and implement efficient new approaches to data engineering tasks. Required Skills and Experience: Bachelors degree in Computer Science, Mathematics, Engineering, or a related field. 5+ years of experience working with enterprise data platforms, including building and managing data lakes. 3-5 years of experience designing and implementing data warehouse solutions. Expertise in SQL, developing stored procedures (SP) and advanced data design concepts. Proficiency in Spark (Python/Scala) and Spark Streaming for real-time data pipelines. Experience with AWS or Azure services (e.g., AWS Glue, Azure Data Factory, Redshift, Snowflake, etc.). Familiarity with big data tools such as Apache Kafka, Apache Spark, or Flink. Hands-on experience with orchestration tools (e.g., Apache Airflow, Prefect). Knowledge of CI/CD processes, version control (e.g., Git, Jenkins), and deployment automation. Experience in integrating ERP data into data lakes is a plus. Experience with traditional ETL tools (e.g., Talend, Pentaho) is an advantage. Strong problem-solving, communication, and collaboration skills. Why Join Us? Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. Work on impactful projects that make a difference across industries. Opportunities for professional growth and continuous learning. Competitive salary and benefits package.Role & responsibilities
Job Summary: We are seeking an experienced and driven Technical Project Manager / Technical Delivery Manager to lead complex, high-impact data analytics and data science projects for global clients. This role demands a unique blend of project management expertise, technical depth in cloud and data technologies, and the ability to collaborate across cross-functional teams. You will be responsible for ensuring the successful delivery of data platforms, data products, and enterprise analytics solutions that drive business value. Key Responsibilities: Project & Delivery Management Lead the full project lifecycle for enterprise-scale data platformsincluding requirement gathering, development, testing, deployment, and post-production support. Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP) Prepare and maintain detailed project plans (Microsoft Project Plan) and align them with the Statement of Work (SOW) and client expectations. Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines. Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow. Data Platform & Architecture Oversight Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake). Ensure data platform solutions meet performance, security, and governance standards. Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements. Client Engagement & Stakeholder Management Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders. Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews. Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment. Technical Leadership & Troubleshooting Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, and Azure Monitor. Lead incident, problem, and change management processes with data platform operations in mind. Identify automation opportunities and propose technical process improvements across data pipelines and workflows. Governance, Documentation & Compliance Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams. Manage project compliance related to data privacy, security, and internal/external audits. Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients. Continuous Improvement & Innovation Participate in and lead at least three internal processes: optimization or innovation initiatives annually. Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows. Monitor production environments to reduce deployment issues and improve time-to-insight. Must Have: 10+ years of experience in technical project delivery, with strong focus on data analytics, BI, and cloud data platforms. Strong hands-on experience with SQL and data warehouse technologies like Snowflake, Synapse, Redshift, BigQuery, etc. Proven experience delivering Data Warehouse and Data Lakehouse solutions. Familiarity with tools such as Redshift, Synapse, BigQuery, Databricks, Delta Lake. Strong cloud knowledge with Azure, AWS, or GCP. Proficiency in project management tools like Microsoft Project Plan (MPP), JIRA, Confluence, and ServiceNow. Expertise in Agile project methodologies. Excellent communication skillsboth verbal and writtenwith no MTI or grammatical errors. Hands-on experience working with global delivery models (onshore/offshore). Good-to-Have: PMP or Scrum Master certification. Understanding of ITIL processes and DataOps practices. Experience managing end-to-end cloud data transformation projects. Experience in project estimation, proposal writing, and RFP handling. Competencies: Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Customer Focus - Building strong customer relationships and delivering customer-centric solutions. Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join Us? Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. Work on impactful projects that make a difference across industries. Opportunities for professional growth and continuous learning. Competitive salary and benefits package. Application Details Ready to make an impact? Apply today and become part of the QX Impact team!
About QX: The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization. Job Summary: We are seeking a seasoned Lead Data Analyst with a strong background in Data Engineering, Advanced Analytics, and Azure cloud technologies to lead our data-driven initiatives. This hybrid role demands technical excellence in data infrastructure, pipeline development, data modeling, and analytics, paired with the ability to translate insights into business impact. The ideal candidate will have hands-on experience building scalable solutions using Azure Data Factory (ADF), managing data warehouses and data lakes, enabling enterprise-wide analytics, and supporting product and business teams with actionable insights. Key Responsibilities: Lead full-cycle data projects — from data extraction, transformation, analysis, visualization, to stakeholder communication. Design, develop, and manage scalable ETL/ELT pipelines using Azure Data Factory (ADF) and other orchestration tools. Build and maintain Azure-based data infrastructure including Data Warehouses, Data Lakes, and Relational Databases. Ensure efficient data modeling, storage strategies, and performance tuning for scalability. Collaborate with product, engineering, and business teams to define data requirements, KPIs, and deliver analytics solutions that drive product and operational decisions. Create and manage Source-to-Target (S2T) mapping documents and support data modeling and table designs. Implement and oversee data governance, data quality frameworks, metadata management, and security standards. Develop and optimize dashboards, reports, and predictive models using Power BI, Tableau, or similar BI tools. Design and lead A/B testing frameworks, data profiling, and exploratory data analysis (EDA) to uncover actionable business insights. Guide and mentor junior data analysts and engineers to build a high-performing, data-first team. Stay current with emerging cloud data platforms, analytics tools, and industry best practices. Must Have: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field. 10+ years of hands-on experience in Data Analytics and Data Engineering roles. Strong expertise in Azure cloud services, especially: Azure Data Factory Azure SQL Database Data Lake Storage Proficiency in SQL and Python. Experience with data orchestration tools such as Apache Spark, Airflow, or dbt. Extensive experience in: Data modeling Database design Managing structured and unstructured data Strong background in: Product analytics KPI analysis A/B testing methodologies Demonstrated experience with BI tools such as Power BI, Tableau, or Looker. Excellent analytical, problem-solving, and business communication skills. Good-to-Have: Familiarity with modern data warehouses such as: Snowflake BigQuery Redshift Prior leadership experience in mentoring, coaching, and managing data teams. Competencies: Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Customer Focus - Building strong customer relationships and delivering customer-centric solutions. Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join Us? Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. Work on impactful projects that make a difference across industries. Opportunities for professional growth and continuous learning. Competitive salary and benefits package. Application Details Ready to make an impact? Apply today and become part of the QX Impact team!