Sr. Data Engineer

3 weeks ago

Hyderabad, India Gravity Infosolutions, Inc. Full time

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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