Senior Data Engineer

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Senior Data Engineer (Remote) Location: Remote Employment Type: Full-Time Experience Level: Senior (5+ years) About the Role We are seeking a highly skilled Senior Data Engineer to join our growing data team. As a key contributor, you will design and build robust, scalable data pipelines and systems that power analytics and decision-making across the organization. You will work closely with data scientists, analysts, and product teams to ensure data accuracy, availability, and performance. Key Responsibilities Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python and SQL. Develop and manage data infrastructure and workflows on AWS (e.g., S3, Lambda, Glue, Redshift, EMR, Athena). Ensure high data quality and implement best practices for data governance and security. Automate data ingestion from diverse structured and unstructured sources. Optimize and monitor pipeline performance and resolve production issues. Collaborate with stakeholders to define data requirements and deliver actionable data products. Maintain and document architecture, data models, and pipelines. Mentor junior engineers and contribute to engineering best practices and team culture. Required Qualifications 5+ years of experience in data engineering or a related field. Strong proficiency in Python for data processing and scripting. Advanced knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL). Hands-on experience with AWS data services: S3, Glue, Redshift, Lambda, Athena, etc. Experience with orchestration tools (e.g., Airflow, AWS Step Functions). Solid understanding of data warehousing, data modeling, and ETL best practices. Familiarity with version control (e.g., Git) and CI/CD pipelines. Preferred Qualifications Experience with infrastructure as code tools (e.g., Terraform, CloudFormation). Exposure to real-time data processing frameworks (e.g., Kafka, Spark, Kinesis). Background in big data technologies and distributed computing. Knowledge of data privacy regulations (GDPR, CCPA) and compliance practices. Familiarity with dashboarding/BI tools (e.g., Tableau, Looker, QuickSight). Show more Show less

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