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Sr. Data Engineer – AWS Databricks / Data Tech Lead

Sr. Data Engineer – AWS Databricks / Data Tech Lead

Gravity Infosolutions, Inc.Madurai, IN
1 day ago
Job description

Role : Sr. Data Engineer – AWS Databricks / Data Tech Lead

Type : Contract

Location : Chennai / Hyderabad

Experience : 5+ years

Duration : 3 Months+ Extendable

Key Responsibilities :

  • Data Pipeline Development : Design and implement robust ETL / ELT pipelines using Databricks, PySpark, and Delta Lake to process structured and unstructured data efficiently.
  • Manage job orchestration, scheduling, and workflow automation through Databricks Workflows or Airflow .
  • Performance Optimization : Tune and optimize Databricks clusters and notebooks for performance, scalability, and cost-efficiency.
  • Data Governance : Implement data governance and lineage using Unity Catalog and other platform-native features
  • Collaboration : Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Cloud Integration : Leverage cloud platforms (AWS) to build and deploy data solutions, ensuring seamless integration with existing infrastructure.
  • Data Modeling : Develop and maintain data models that support analytics and machine learning workflows.
  • Automation & Monitoring : Implement automated testing, monitoring, and alerting mechanisms to ensure data pipeline reliability and data quality.
  • Documentation & Best Practices : Maintain comprehensive documentation of data workflows and adhere to best practices in coding, version control, and data governance.

Required Qualifications :

  • Experience : 5+ years in data engineering, with hands-on experience using Databricks and Apache Spark.
  • Programming Skills : Proficiency in Python and SQL;
  • Cloud Platforms : Strong experience with cloud services such as AWS (e.g., S3, Glue, Redshift
  • Data Engineering Tools : Familiarity with tools like Airflow, Kafka, and dbt.
  • Data Modeling : Experience in designing data models for analytics and machine learning applications.
  • Collaboration : Proven ability to work in cross-functional teams and communicate effectively with non-technical stakeholders.
  • Primary Skill Set :

    Databricks, Apache Spark / Pyspark, Python, SQL, ETL / ELT development, Delta Lake, Cloud platforms (AWS), Data modeling, Cross-functional collaboration, Communication

    Secondary Skill Set :

    Airflow, dbt, Kafka, Hadoop, MLflow, Unity Catalog, Delta Live Tables, Cluster optimization, Data governance, Security and compliance, Databricks certifications.

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