Snowflake Data Engineer with Kafka
Snowflake Data Engineer with Kafka
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INR INR 2200000 - 3400000
1 Vacancy
Job Description
- Design implement and maintain Snowflake data warehouse solutions ensuring high performance scalability and security.
- Develop and optimize ETL/ELT pipelines to ingest transform and load data into Snowflake from Kafka and other data sources.
- Work closely with data architects data analysts and data scientists to understand business requirements and translate them into technical solutions.
- Design and implement Kafkabased messaging systems to stream data in realtime to Snowflake.
- Troubleshoot and resolve datarelated issues including performance bottlenecks and data quality issues.
- Monitor and optimize data pipelines for efficiency scalability and costeffectiveness.
- Implement data governance and security practices to ensure compliance with organizational standards.
- Provide technical guidance and mentorship to junior engineers on Snowflake and Kafkarelated technologies.
- Stay updated on emerging technologies and best practices in data engineering and cloud services.
- 4 years of handson experience with Snowflake data platform including data modeling performance tuning and optimization.
- Strong experience with Apache Kafka for stream processing and realtime data integration.
- Proficiency in SQL and ETL/ELT processes.
- Solid understanding of cloud platforms such as AWS Azure or Google Cloud.
- Experience with scripting languages like Python Shell or similar for automation and data integration tasks.
- Familiarity with tools like dbt Airflow or similar orchestration platforms.
- Knowledge of data governance security and compliance best practices.
- Strong analytical and problemsolving skills with the ability to troubleshoot complex data issues.
- Ability to work in a collaborative team environment and communicate effectively with crossfunctional teams.
- Experience with other cloud data services like AWS Redshift Google BigQuery or Azure Synapse.
- Familiarity with containerization (Docker Kubernetes) and orchestration tools.
- Experience with machine learning models and integration with data pipelines.
- Bachelor s or Master s degree in Computer Science Engineering Information Technology or related field.
- Work with innovative technologies in a fastpaced collaborative environment.
- Opportunity to contribute to cuttingedge data engineering solutions.
- Competitive salary and benefits.
- Continuous learning and career development opportunities.
elt,aws,scripting,dbt,compliance,data warehousing,data security,gcp,snowflake,big data,etl,shell,cloud platforms,machine learning,apache kafka,containerization,sql,cloud,security,collaboration,business intelligence tools,devops practices,programming concepts,airflow,orchestration,data governance,python,azure,kafka,communication
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
