Data Engineering Associate Manager

Data Engineering Associate Manager

Requirements

• Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Computer Hardware, Computer Software or related field, plus 4 years of experience in the IT consulting industry.
• Must have 3 years of experience in designing and developing data architecture solutions using Data Mesh, Fabric Architectures, Data Warehouse, Data Mart, and Data Lake.
• Must have 3 years of experience in creating high-performance data pipelines and integrated solutions for large volumes of streaming data.
• Must have 3 years of experience in utilizing big data platforms, including Hadoop, Spark, Snowflake, and Databricks.
• Must have 3 years of experience in designing, implementing, and monitoring data services on cloud platforms, including Azure, AWS, or GCP.
• Must have 3 years of experience in developing Spark applications with Python and SAS.
• Must have 3 years of experience in developing API endpoints, performance tuning, and query optimization using Indexing, Partitioning, and Denormalization.
• Must have 3 years of experience in developing ETL workflows, including data cleansing, classification, migration, profiling, and transformation.
• Must have 3 years of experience in utilizing Agile delivery methodologies to plan team capacity and deliverables, translating business and functional requirements into technical designs.
• Must have 3 years of experience in monitoring and implementing best practices for data security, encryption, and decryption.
• Must have 3 years of experience in providing IT services to clients in the banking industry.
• Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

Responsibilities

• Leverage analytical and data management tools and techniques to develop quantitative and qualitative business insights for Accenture or our clients.
• Integrate systems and data efficiently and effectively.
• Develop scalable data infrastructure inline with data governance practices to enhance system performance and build integrations for batch or real-time consumption patterns.
• Develop intellectual property involving specific analytical methodologies, mathematical modeling, or optimization techniques and their applications to business issues.
• Translate business issues into specific requirements to develop analytic and operational solutions and manage appropriate data to support the solution.
• Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry, and analytical skills.
• Analyze and solve moderately complex problems.
• Understand strategic direction set by senior management and implement senior management’s strategic direction and procedures.
• Work with team members to meet deliverable requirements, service level measures, and specific targets.

Preferred Qualifications

No preferred qualifications provided.