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Urgent! Data Engineer - Scala/Python Job Opening In Bengaluru – Now Hiring STRATSOL SOFTWARE SYSTEMS PRIVATE LIMITED

Data Engineer Scala/Python



Job description

<p><p><b>About the Role :</b><br/><br/>We are looking for an experienced Data Engineer with 5 - 7 years of hands-on experience in building and optimizing scalable data pipelines and architectures.

The ideal candidate will have strong expertise in data wrangling, ETL/ELT processes, data warehousing, and working with cloud-based data platforms.<br/><br/>As a Data Engineer, you will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and accessibility of clean and structured data across the organization.<br/><br/><b>Key Responsibilities :</b></p><p><br/></p><p>- Design, build, and maintain robust, scalable, and high-performance data pipelines to support data analytics, reporting, and machine learning workflows.<br/><br/>- Develop and optimize ETL/ELT processes for structured and unstructured data.<br/><br/>- Work with large datasets across various storage and processing systems including data lakes and data warehouses.<br/><br/>- Implement and manage data models, schemas, and data governance policies.<br/><br/>- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.<br/><br/>- Monitor pipeline performance and troubleshoot data quality or latency issues.<br/><br/>- Use best practices for version control, testing, and deployment of data pipeline components.<br/><br/>- Document data flows, definitions, and technical architecture.<br/><br/><b>Required Qualifications :</b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field.<br/><br/>- 5 - 7 years of experience as a Data Engineer, with a strong portfolio of data pipeline and infrastructure work.<br/><br/>- Proficient in Python or Scala for data processing.<br/><br/>- Strong SQL skills for querying and data modeling (preferably PostgreSQL, MySQL, or SQL Server).<br/><br/>- Hands-on experience with modern data processing frameworks like Apache Spark, Apache Airflow, or Databricks.<br/><br/>- Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).<br/><br/>- Knowledge of data warehousing principles and data modeling (star/snowflake schemas).<br/><br/>- Experience with tools like Kafka, Delta Lake, or Apache Parquet is a plus.<br/><br/>- Familiarity with CI/CD pipelines, Docker, and version control tools like Git.<br/><br/><b>Preferred Qualifications :</b></p><p><br/></p><p>- Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.<br/><br/>- Exposure to data governance and data quality frameworks (e.g., Great Expectations).<br/><br/>- Understanding of data security, encryption, and compliance standards (GDPR, HIPAA, etc.).<br/><br/>- Certification in cloud platforms like AWS Certified Data Analytics, Azure Data Engineer Associate, or GCP Professional Data Engineer.</p><br/></p> (ref:hirist.tech)


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