Senior Data Engineer - ETL Tools

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Job Description :


Key Responsibilities :


- Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from multiple sources.

- Perform data modeling for both structured and semi-structured datasets.

- Implement and manage data warehousing solutions to store and organize large volumes of data efficiently.

- Optimize ETL performance, monitor data workflows, and troubleshoot data-related issues.

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.

- Ensure data quality, consistency, and governance across all data assets.

- Stay current with emerging big data and cloud technologies to recommend modern solutions.


Required Qualifications :


- Bachelor's or Masters degree in Computer Science, Engineering, Information Systems, or a related field.

- Minimum 5+ years of experience in data engineering, with strong knowledge of data pipelines and ETL processes.

- Proficiency in SQL and experience with scripting languages (e.g., Python, Scala).

- Strong understanding of data modeling techniques (Star/Snowflake schemas).

- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).

- Hands-on experience with ETL tools and orchestration frameworks such as Apache Airflow, Talend, or Informatica.

- Exposure to big data technologies such as Hadoop, Spark, Hive, etc., is a plus.

- Familiarity with cloud platforms (AWS, GCP, or Azure).

- Excellent problem-solving skills and the ability to work in a collaborative team environment.

- Strong communication skills, both written and verbal.


Nice to Have :


- Experience working in hybrid or remote teams.

- Background in data analytics or working closely with BI teams.

- Familiarity with CI/CD pipelines and DevOps practices in a data environment.


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