Senior Data Engineer/ Data Engineer

Job Summary

The Senior Data Engineer and Data Engineer is responsible for designing, building, maintaining, and optimizing data solutions that collect, store, process, and make data accessible for analytics, reporting, and business decision-making. This role works closely with Data Product Owners, business stakeholders, analysts, and technical teams to develop scalable data pipelines, support data integration initiatives, and ensure the reliability, quality, and performance of enterprise data assets.

Responsibilities

• Implement features and enhancements from the data product backlog.
• Partner with Data Product Owners and business stakeholders to understand business and technical requirements.
• Assist in building and maintaining scalable ETL/ELT pipelines.
• Support data ingestion from APIs, relational databases, and flat files.
• Clean, transform, and validate data to ensure quality and consistency.
• Develop and optimize SQL queries for reporting and data extraction.
• Collaborate with data analysts and data scientists to meet analytical requirements.
• Maintain documentation for data processes and technical solutions.
• Follow data engineering best practices and standards.
• Learn from and collaborate with senior engineers on enterprise initiatives.
• Perform ad hoc data analysis and queries to support business needs.

Requirements

• Data Engineer:
• 2+ years of relevant experience.
• Understanding of Relational Database Management Systems (RDBMS).
• Knowledge of data warehousing concepts, including star and snowflake schemas.
• Familiarity with version control systems such as Git or TFS.
• Understanding of data modeling principles.
• Exposure to ETL tools such as Talend, Informatica, or SSIS.
• Working knowledge of SQL, stored procedures, and database table design.
• Familiarity with scripting languages such as Python, Shell scripting.
• Senior Data Engineer:
• 5+ years of data engineering experience.
• Extensive experience with Talend ETL.
• Advanced SQL skills, including:
• Stored procedures
• Database and table design
• Query optimization
• ETL performance tuning
• Strong experience with Snowflake Cloud Data Warehouse.
• Proficient in SQL for data manipulation, transformation, and querying within Snowflake.
• Experience with scripting languages such as Python or Shell scripting.
• Strong analytical and problem-solving skills with the ability to identify patterns and resolve data quality issues.
• Demonstrated ability to work independently in a fast-paced environment.
• Strong focus on quality, accountability, flexibility, and achievement of results.

Qualifications

• Education Level: Bachelor’s Degree or equivalent combination of education and related experience.
• Preferred Discipline(s): Computer Science, Information Technology.
• Preferred Certifications: Talend Certified, AWS Certified, Microsoft Certified, Azure Data Engineer.

Working Conditions

• Delivering at Pace: Acts with urgency to meet deadlines while maintaining quality, prioritizing workload effectively under pressure.
• Collaborative Teamwork: Actively supports colleagues, shares knowledge freely, and treats others with dignity and respect.
• Effective Communication: Tailors communication style to the audience, ensuring clarity and transparency in both successes and challenges.
• Ownership and Adaptability: Takes responsibility for outcomes and welcomes feedback for improvement.
• Ability to work independently
• Achievement orientation
• Self-starter
• Concern for quality
• Flexibility