
Data Engineer
4 weeks ago
Job Title: Data Engineer
Experience: 3-8 Years
Location: Jaipur, India
Employment Type: Full-time
About the Role:
We are looking for a skilled and motivated Data Engineer to join our team in Jaipur. The ideal candidate will have strong experience in designing, building, and optimizing data pipelines and architectures for large-scale data processing. You will work closely with data scientists, analysts, and business stakeholders to ensure smooth data flow and accessibility across systems.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines to support data integration and analytics.
- Work with structured, semi-structured, and unstructured data across multiple platforms.
- Optimize data workflows for performance, scalability, and reliability.
- Collaborate with cross-functional teams (Data Science, BI, Business teams) to deliver data solutions.
- Implement data quality checks, monitoring, and governance to ensure accuracy and security.
- Manage data pipelines on cloud platforms (AWS, Azure, or GCP) and modern data tools.
- Troubleshoot, debug, and resolve issues in existing data workflows.
Required Skills & Qualifications:
- 3-8 years of experience as a Data Engineer or in a similar role.
- Strong expertise in SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Hands-on experience with Big Data technologies like Spark, Hadoop, or Kafka.
- Proficiency in Python, Scala, or Java for data processing.
- Experience with Cloud Data Platforms (Azure Data Factory, Databricks, AWS Glue, GCP BigQuery, etc.).
- Knowledge of data warehousing concepts and dimensional modeling.
- Familiarity with modern data stack tools (dbt, Airflow, Snowflake, Redshift, Synapse).
- Strong problem-solving and debugging skills.
Good to Have:
- Experience in CI/CD pipelines and DevOps for data workflows.
- Exposure to machine learning data pipelines.
- Knowledge of data security and compliance practices.
Education:
- Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field.
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