Consultant | Python | Engineering

The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Key Responsibilities – · Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs. · Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications. · Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization. · Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured. · Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs. · Data Governance: Participate in data governance initiatives by establishing data quality rules, data lineage, and data ownership guidelines. Monitor and enforce data governance policies. · Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated. · Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage. · Data Security: Implement data security measures to protect sensitive and confidential data. Define access controls and data encryption strategies as needed. · Data Analysis Support: Support data analysts and data scientists by providing well-structured data models that facilitate data analysis and reporting. · Data Migration: Assist in data migration projects by ensuring that data models are consistent between source and target systems. Verify data integrity during migration. Qualifications 3-10 years of proficient experience with AWS ETLs, Glue, EMR, S3 & Athena Expert in languages e.g., Python, Pyspark Advanced knowledge of database management systems SQL Excellent problem-solving and analytical skills. Strong communication and collaboration skills to work with cross-functional teams. Experience with version control practices and CICD Process (Git, Bamboo, etc.) Understanding of Financial Services Industry- IMRE (preferred)

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