509357 - 1166830 INR - Yearly
Information Technology
Full-Time
eSparkBiz Technologies Pvt. Ltd
Overview
- Job Description :
- We are seeking a skilled
- Data Engineer
- to design, build, and optimize scalable data pipelines for processing large datasets. The ideal candidate will work with modern data tools and cloud platforms to develop robust, high-performance data systems that support
- analytics and AI-driven applications
Requirements
- Design and architect scalable ETL/ELT pipelines using Apache Airflow, dbt, and Kafka for real-time and batch data processing.
- Build and maintain data lakes and data warehouses on platforms such as AWS S3, Snowflake, or Databricks, leveraging Delta Lake for ACID-compliant data management.
- Develop and implement data quality frameworks using Great Expectations and monitor data systems using Prometheus and Grafana.
- Optimize data infrastructure for performance and cost using Kubernetes, Terraform (Infrastructure as Code), and serverless services such as AWS Lambda and AWS Glue.
- Collaborate with cross-functional teams to implement CI/CD pipelines using GitHub Actions or GitLab CI, integrating with dbt Cloud for data transformations.
- Develop and manage real-time data processing solutions using Apache Spark (PySpark/Databricks).Work with vector databases such as Pinecone to support AI and machine learning applications.
Required Skills
- Strong programming skills in Python and SQL.
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure (e.g., EMR, Redshift, BigQuery).
- Experience with modern data tools:
- Kafka or Flink for streaming
- dbt for data transformation
- Airflow for workflow orchestration
- Familiarity with containerization technologies like Docker and Kubernetes.
- Understanding of observability tools and frameworks such as ELK Stack.
Preferred Skills
- Experience with machine learning pipelines using MLflow.
- Knowledge of data governance tools such as Collibra.
- Experience working with HIPAA-compliant data environments.
- Exposure to Scala or Java for Apache Spark development.
Benefits
5 Days working
Flexible Timing
12 Paid Leaves
12 Official Holidays
Festival Celebrations
Birthday Celebrations
Friendly work Culture
Pay: ₹509,356.57 - ₹1,166,829.63 per year
Work Location: In person
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