Senior Data Engineer - R01561387

This position is no longer accepting applications(closed Jun 19, 2026).

Senior Data Engineer

Primary Skills

DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

Snowflake Engineering: Data Engineer

Job requirements

Job Summary

We are seeking a Senior Data Engineer with strong expertise in DBT, Python, and SQL to design, develop, and optimize scalable data pipelines and ETL processes. The ideal candidate will have hands-on experience working with modern data stacks, particularly Snowflake, and will play a key role in building reliable analytics and reporting solutions on cloud platforms.

This role demands strong problem-solving skills, deep understanding of data warehousing concepts, and the ability to collaborate closely with business stakeholders to translate requirements into robust technical solutions.

Key Responsibilities

Design, develop, and maintain DBT models, transformations, tests, and optimized SQL code for analytics and reporting use cases.

Build and enhance scalable ETL/ELT pipelines using DBT and complementary data engineering tools.

Write complex, high-performance SQL queries to process, analyze, and transform large datasets.

Develop clean, efficient, and scalable code in Python, with strong hands-on experience using Pandas and NumPy.

Optimize data pipelines for performance, scalability, and cost efficiency, especially in cloud-based data warehouses.

Troubleshoot and resolve ETL failures, performance bottlenecks, and data quality issues.

Develop and maintain scripts using Unix Shell scripting, Python, and related tools for data extraction, transformation, and loading.

Write, tune, and support Snowflake SQL and contribute to Snowflake implementation and optimization initiatives.

Work with workflow orchestration tools such as Apache Airflow (or similar platforms) to manage and monitor data pipelines.

Integrate data solutions with user-facing applications where required.

Collaborate with business, analytics, and technical stakeholders to gather requirements and deliver reliable, interpretable data solutions.

Implement data validation, testing, and quality checks within DBT workflows to ensure accuracy and reliability.

Required Skills & Qualifications

6+ years of overall IT experience, with strong focus on data engineering.

Proven hands-on experience with DBT (Data Build Tool) including model development, transformations, and testing.

Strong programming expertise in Python (mandatory).

Advanced proficiency in SQL, including writing and optimizing complex queries on large datasets.

Hands-on experience designing, building, and maintaining ETL/ELT pipelines.

Experience with Unix/Linux shell scripting.

Solid understanding of data warehousing concepts, dimensional modeling, and best practices.

Preferred / Good-to-Have Skills

Experience with Snowflake implementation, performance tuning, and cost optimization.

Knowledge or hands-on exposure to Salesforce CDP.

Experience using Airflow or other orchestration frameworks.

Exposure to cloud platforms such as AWS, GCP, or Azure.

Experience working with cloud storage solutions like Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage.

Ideal Candidate Profile

Strong analytical and problem-solving skills

Comfortable working in fast-paced, data-driven environments

Ability to own data pipelines end-to-end

Strong collaboration and communication skills

Senior Data Engineer - R01561387

Primary Skills

Specialization

Job requirements

Job Summary

Key Responsibilities

Required Skills & Qualifications

Preferred / Good-to-Have Skills

Ideal Candidate Profile

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