Senior Data Engineer | No Of Openings: 2

We are seeking an experienced Data Engineer with 6+ years of experience in designing, developing, and maintaining scalable data pipelines and data warehouse solutions. The ideal candidate should have strong expertise in ETL/ELT, Python, dbt, Snowflake, workflow orchestration, job scheduling, and Git.

Designation: Senior Data Engineer

Qualification: Any UG / PG / Engineering Graduaes

Experience: 6+ Years of work experience

Job Location: Coimbatore

Job Type: Full Time | Permanent Job | Day Shift

Working Day: Monday to Friday

Salary: Up to 15 LPA

Key Responsibilities

- Design, develop, test, and maintain scalable ETL/ELT data pipelines.
- Build and manage enterprise data warehouse solutions using Snowflake.
- Write effective and maintainable Python programs for data ingestion, transformation, validation, and automation.
- Extract and integrate data from databases, APIs, flat files, and other structured or semistructured sources.
- Develop dimensional data models using concepts such as:
- Star and snowflake schemas
- Fact and dimension tables
- Slowly Changing Dimensions
- Incremental and historical data loads
- Create and maintain ETL jobs, schedules, dependencies, alerts, and recovery procedures.
- Work with orchestration and scheduling tools such as Apache Airflow, Control-M, Azure Data Factory, AWS Glue, or similar platforms.
- Implement data-quality checks, reconciliation processes, audit controls, and exception handling.
- Monitor pipeline performance and troubleshoot failed or delayed data-processing jobs. Optimize Snowflake queries, storage, warehouses, and overall pipeline performance. Use Git for source-code management,



branching, merging, pull requests, code reviews, and release management.
- Support CI/CD processes for deploying data pipelines and dbt models across environments.
- Collaborate with business analysts, data analysts, reporting teams, architects, and other stakeholders to understand data requirements.
- Prepare and maintain technical documentation, data mappings, lineage, and operational support procedures
- Participate in Agile ceremonies, sprint planning, estimation, peer reviews, and productionsupport activities.

Required Skills and Qualifications

- 6+ years of professional experience in data engineering, ETL development, or data warehousing.
- Robust understanding of ETL/ELT processes and data warehousing concepts.
- Hands-on experience with Python for data processing and automation.
- Strong hands-on experience with dbt, including:
- Models and materializations
- Sources and seeds
- Tests and documentation
- Macros and Jinja
- Snapshots

Strong experience with Snowflake, including:

- Databases, schemas, tables, and views
- Virtual warehouses
- Stages and file formats
- Query and warehouse performance optimization
- Advanced SQL skills, including joins, CTEs, window functions, stored procedures, and query optimization.
- Experience creating, scheduling, monitoring,



and troubleshooting ETL jobs.
- Experience with workflow orchestration tools such as Apache Airflow or an equivalent platform.
- Strong working knowledge of Git, including branching strategies, merge conflict resolution, pull requests, and code reviews. Experience working with structured and semi-structured data formats such as CSV, JSON, XML, Avro, and Parquet.
- Knowledge of data-quality frameworks, logging, monitoring, reconciliation, and errorhandling practices.
- Good understanding of software development life cycle, Agile methodologies, and production-support processes.
- Strong analytical, troubleshooting, communication, and problem-solving skills. Preferred Qualifications
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar tools.
- Familiarity with BI and reporting tools such as Power BI, Tableau, or Looke
- Understanding of data governance, metadata management, lineage, security, and access control.
- Relevant Snowflake, dbt, cloud, or data-engineering certifications would be an advantage. Expected Competencies
- Effective collaboration with technical and business stakeholders.
- Ability to mentor junior engineers and contribute to engineering best practices.

"> Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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