• Manage, maintain and test the implementation of data management projects.
• Ensure optimal delivery process is consistent throughout ongoing projects.
• Assemble data management products’ features to meet functional and non-functional business requirements.
• Work with clients’ and vendors’ stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Identify, design, and implement client process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Work closely and support our developers, data architects, data analysts and data scientists on data initiatives.
• Optimize or even re-design our company’s solution architecture and implementation methodology to support and improve our services and data initiatives.
• Conduct research in the industry to address any issues that can arise while tackling a business problem.
• Remain up-to-date with industry standards and technological advancements that will improve the quality of our outputs.
• Learn and search about tools and products used in our projects in all data management domains, especially for Informatica products.
• Create delivery related documents: Solution Architecture, Low-Level Design, Business Requirement Document, System Requirement Specification, User Guide, etc.

Secondary Tasks and Responsibilities

• Implement analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Employ machine learning techniques to create and sustain structures that allow for the analysis of data.

• BSc in Computer Science, Statistics, Informatics, Information Systems, Data Engineering, Big Data Analytics, or another related field.
• 5+ years of work experience in a Data Engineer role in data management implementation projects.
• Data engineering certifications.
• Experience with the following software/tools:
• Relational SQL and NoSQL databases: Oracle, MS SQL Server, PostgreSQL, Cassandra, MongoDB, etc.
• Big data tools: Hadoop, Hive, Spark, Kafka, etc.
• Analytics tools: Tableau, Power BI, etc.
• Object-oriented/object function scripting languages: Python, Java, Scala, JavaScript, etc.
• In-depth technical expertise regarding data models, data analysis and design, master data management, metadata management, data warehousing, business intelligence, and data quality improvement.
• Experience with Data Governance, Data Catalog, Data Quality and Master Data Management concepts and tools.
• Familiarity with ETL, Data Lake, Data Warehouse, Data Storage, Big Data, Data Security, Data Privacy and Open Data concepts and tools.
• Use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Ability to grasp business rules.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Excellent analytical, problem-solving and troubleshooting skills.
• Strong analytic skills related to working with unstructured datasets.
• Basic knowledge of AI and data science.
• Experience working at/with companies performing complex/large scale data management implementations, employing recognized best practices.
• Experience including a successful track record of multi-tasking several projects, and supporting and working with cross-functional teams in a dynamic environment.
• Strong project management and organizational skills.
• Experience in planning & costing.
• Experience in preparing technical & financial proposals.
• Excellent knowledge and prowess to work in any development environment.
• Demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism.
• Demonstrate unsatiated curiosity and outstanding interpersonal skills.

Nice to have qualifications.

• Master's degree in a relevant field is advantageous.
• Informatica certifications.
• Experience with the following software/tools:
• Informatica Data Management products including cloud services.
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Stream-processing systems: Storm, Spark-Streaming, etc.
• Cloud services: AWS, Google Cloud, Azure, etc.
• Experience with ETL, Data Lake, Data Warehouse, Data Storage, Big Data, Data Security, Data Privacy and Open Data concepts and tools.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Fair knowledge about some lines of business: financial accounting, CRM, manufacturing, supply chain, HCM, etc.