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1 Day ago

Data Engineer

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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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