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Data Engineer - India - Mitchell Martin Inc.
Description
Location: India (Remote)
Position Type: Full Time
Key Responsibilities
Data Pipeline Development & Support
• Assist in building, testing, and maintaining ETL and ELT data pipelines.
• Support data ingestion processes from multiple sources including APIs, relational databases, flat files, and third-party systems.
• Validate pipeline outputs to ensure data completeness, accuracy, and consistency.
• Monitor scheduled workflows and assist in resolving pipeline failures.
Data Transformation & Validation
• Clean, transform, and standardize raw data using SQL and basic Python scripting.
• Implement data validation checks to ensure accuracy and integrity.
• Identify and troubleshoot data quality issues.
• Support data reconciliation between source systems and target environments.
Database & Data Warehouse Support
• Help maintain data warehouses and data lakes.
• Write and optimize SQL queries for analytics and reporting workloads.
• Support database performance optimization and workflow tuning.
• Apply foundational data modeling concepts including normalization and dimensional modeling basics.
Collaboration & Documentation
• Collaborate with data analysts, data scientists, and software engineers to understand data requirements.
• Document data pipelines, data models, schemas, and transformation logic.
• Follow established engineering standards and best practices.
Data Governance & Compliance
• Ensure adherence to data governance standards and internal data handling policies.
• Use, protect, and disclose patients' Protected Health Information (PHI) only in accordance with HIPAA regulations.
• Maintain confidentiality and secure handling of sensitive healthcare data.
Required Qualifications
Education
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
Experience
• 3 years of experience in data engineering, software engineering, analytics engineering, or a related technical role.
Technical Skills
SQL & Databases:
• Strong SQL skills including joins, aggregations, subqueries, and query optimization.
• Understanding of relational database systems such as PostgreSQL, MySQL, or SQL Server.
• Familiarity with database schema design and indexing basics.
Programming:
• Basic proficiency in Python or a similar programming language.
• Ability to write scripts for data transformation and validation.
Data Engineering Concepts:
• Foundational understanding of ETL and ELT processes.
• Basic knowledge of data warehousing concepts including fact tables, dimension tables, and star schemas.
• Familiarity with data modeling principles.
Analytical & Professional Skills
• Strong analytical and problem-solving abilities.
• Attention to detail in data validation and troubleshooting.
• Ability to follow technical direction and collaborate within a team environment.
• Clear written and verbal communication skills
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