Lead Data Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Position: Lead Data Engineer
Location: Bengaluru
Experience: 10+ years
Job Summary:
We are seeking an experienced Senior Data Engineer with a strong background in PySpark, Spark, and Big Data technologies. The ideal candidate will have over five years of hands-on experience designing, building, and optimizing large-scale data processing systems and pipelines.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using PySpark and Spark.
- Perform data wrangling, transformation, and integration across diverse data sources.
- Optimize the performance and reliability of data processing workflows.
- Implement data quality frameworks to ensure data accuracy and integrity.
- Develop and maintain data architectures and data models to support business needs.
- Collaborate with cross-functional teams including data analysts, software engineers, and business stakeholders to understand data requirements.
- Stay updated with the latest advancements in Big Data tools, frameworks, and best practices.
- Mentor and guide junior data engineers in technical and professional growth.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering roles.
- Expertise in PySpark and Spark for large-scale data processing.
- Strong understanding of Big Data ecosystems and technologies (e.g., Hadoop, Hive).
- Hands-on experience with ETL development, data modeling, and data warehousing.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Strong problem-solving skills and a detail-oriented mindset.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of SQL and relational database management systems.
- Familiarity with data orchestration tools like Airflow, Prefect, or similar.
More Info
Key Skills
About Company
Skills:
PostgreSQL, Sql, Python, Canonical data modeling
Skills:
Data Modelling, Pytest, T-sql, Adf, ELT, Spark, Data Architecture, Databricks, Python, Etl, Airflow, Auto Loader, Unity Catalog, Delta Lake, Structured Streaming
Skills:
snowflake , AWS Glue, Dimensional Modeling, Automation, Sql, Cloud Migration, ELT, Data Warehousing, Python, Testing, AWS, Etl, Data Platform Modernization, Kimball Dimensional Modeling, CI/CD, Monitoring
Skills:
Sql, ETL ELT fundamentals and best practices, CI CD pipelines for data deployments, Snowflake data warehousing including Time Travel and Fail Safe features, AWS services such as S3 Lambda Secret Manager IAM and CloudWatch, Configuration of monitoring alerting and data quality checks in cloud data platforms, Administration of Snowflake warehouses databases schemas and role-based security, dbt models macros and tests, Python for data engineering and automation
Skills:
Git, Gcp, Scala, Apache Spark, Apache Kafka, Databricks, Python, Spark Structured Streaming, Cloud SQL