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Data Engineer - Python / SQL

Data Engineer - Python / SQL

EGISEDGE TECHNOLOGIES PVT LTDDelhi
30+ days ago
Job description

Job Title : Data Engineer

About the Role :

We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in Databricks, Python, and SQL.

Key Responsibilities :

  • Design, develop, and maintain scalable ETL / ELT data pipelines using Databricks (PySpark) on Azure / AWS / GCP.
  • Develop clean, reusable, and performant Python code for data ingestion, transformation, and quality checks.
  • Write efficient and optimized SQL queries for querying structured and semi-structured data.
  • Work with stakeholders to understand data requirements and implement end-to-end data workflows.
  • Perform data profiling, validation, and ensure data quality and integrity.
  • Optimize data pipelines for performance, reliability, and integrate data from various sources APIs, flat files, databases, cloud storage e.g., S3, ADLS.
  • Build and maintain delta tables using Delta Lake format for ACID-compliant streaming and batch pipelines.
  • Work with Databricks Workflows to orchestrate pipelines and scheduled jobs.
  • Collaborate with DevOps and cloud teams to ensure secure, scalable, and compliant infrastructure.

Technical Skills Required :

Core Technologies :

  • Databricks Spark on Databricks, Delta Lake, Unity Catalog
  • Python with strong knowledge of PySpark
  • SQL Advanced level joins, window functions, CTEs, aggregation
  • ETL & Orchestration :

  • Databricks Workflows / Jobs
  • Airflow, Azure Data Factory, or similar orchestration tools
  • Auto Loader, Structured Streaming preferred
  • Cloud Platforms Any one or more :

  • Azure Databricks on Azure, ADLS, ADF, Synapse
  • AWS Databricks on AWS, S3, Glue, Redshift
  • GCP Dataproc, BigQuery, GCS
  • Data Modeling & Storage :

  • Experience working with Delta Lake, Parquet, Avro
  • Understanding of dimensional modeling, data lakes, and lakehouse architectures
  • Monitoring & Version Control :

  • CI / CD pipelines for Databricks via Git, Azure DevOps, or Jenkins
  • Logging, debugging, and monitoring with tools like Datadog, Prometheus, or Cloud-native tools
  • Optional / Preferred :

  • Knowledge of MLflow, Feature Store, or MLOps workflows
  • Experience with REST APIs, JSON, and data ingestion from 3rd-party services
  • Familiarity with DBT Data Build Tool or Great Expectations for data quality
  • Soft Skills :

  • Strong analytical, problem-solving, and debugging skills
  • Clear communication and documentation skills
  • Ability to work independently and within cross-functional teams
  • Agile / Scrum working experience
  • (ref : hirist.tech)

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