Senior ETL Developer

Job Title:

We are seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong hands-on experience with ETL/ELT development, data modeling, and modern data engineering tools. This role will focus on building reliable, high-performance data solutions that support analytics, operations, and business decision-making.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time data ingestion.
• Develop and optimize data integration workflows using tools such as Matillion, Informatica, dbt, ADF, Airflow, Glue, or similar.
• Implement and maintain data warehouse and lakehouse architectures (Snowflake, Databricks, Redshift, Synapse).
• Create and maintain logical and physical data models (star, snowflake, 3NF, data vault).
• Write efficient SQL and Python code for data processing, transformation, and automation.
• Ensure data quality, validation, and observability through testing frameworks and monitoring tools.
• Collaborate with data architects, analysts, and business teams to deliver high-quality data solutions.
• Support performance tuning, cost optimization, and environment management within cloud platforms.
• Implement and follow data governance, metadata management, and security best practices.
• Contribute to CI/CD processes, version-controlled development, and deployment automation.
• Document data flows, pipeline designs, and system-level technical artifacts for reference and audit.

Required Qualifications

• Bachelor's or master's degree in computer science, Information Systems, or a related field.
• 5+ years of experience in data engineering.
• Strong expertise in SQL, Python, and data transformation techniques
• Hands-on experience with modern cloud platforms (AWS, Azure, or GCP).
• Proficient in at least one cloud-native data warehouse (e.g., Snowflake, Redshift, Databricks, BigQuery, Synapse).
• Experience with ETL/ELT tools (e.g., Matillion, Informatica, Talend, dbt, AWS Glue, Azure Data Factory (ADF)).
• Strong SQL skills and familiarity with Python/Scala for data processing.
• Understanding of data governance, metadata management, and security practices.
• Experience with CI/CD for data pipelines and version-controlled deployments.

Preferred Qualifications

• Certifications in Snowflake, AWS, Azure, GCP would be appreciated.
• Experience with data cataloging tools (e.g., Alation, Collibra, Apache Atlas).
• Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis).
• Understanding of AI/ML integration within data platforms.
• Tableau, Sigma or any other BI tool exposure is a plus.

Soft Skills

• Strong communication skills with the ability to work cross-functionally.
• Proactive, detail-oriented, and structured in problem solving.
• Ability to mentor junior engineers and contribute to team development.
• Demonstrated ownership and accountability in delivering data solutions.