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Urgent! Data Engineer - Python/Apache Spark Job Opening In Hyderabad – Now Hiring BOHIYAANAM TECHNOLOGY LLP

Data Engineer Python/Apache Spark



Job description

<p><p><b>Description :</b><br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and deploy end-to-end data engineering solutions using Databricks, Apache Spark, PySpark, Python, and SQL.<br/><br/>- Build scalable and efficient ETL/ELT pipelines for data ingestion, transformation, and integration from various sources.<br/><br/>- Work with data warehousing solutions and ensure high-performance data processing and storage.<br/><br/>- Engage directly with clients to gather requirements, propose solutions, and manage delivery expectations.<br/><br/>- Collaborate with data scientists, analysts, and other engineers to support ML model deployment, MLOps, and advanced analytics use cases.<br/><br/>- Implement data modeling, data architecture, and adhere to best practices in modern data platform design.<br/><br/>- Utilize CI/CD tools such as GitHub, Azure DevOps, and Pipelines for version control, testing, and production deployment.<br/><br/>- Manage technical project delivery, including scope, timelines, and technical documentation.<br/><br/>- Troubleshoot performance issues and optimize distributed computing processes using Apache Spark.<br/><br/>- Continuously learn and apply new features and tools to enhance existing solutions and architectures.<br/><br/><b>Required Skills & Experience :</b></p><p><p><b><br/></b></p>- 4+ years of experience in data engineering, data platforms, and data analytics.<br/><br/>- 3+ years hands-on experience with Databricks, Apache Spark, PySpark, Python, and SQL.<br/><br/>- Experience working in client-facing roles or consulting environments.<br/><br/>- Strong understanding of data modeling, ETL processes, and cloud data architecture principles.<br/><br/>- Working knowledge of at least two cloud platforms (AWS, Azure, GCP), with deep expertise in one.<br/><br/>- Solid knowledge of Spark runtime internals and distributed computing.<br/><br/>- Experience with CI/CD and deployment pipelines GitHub, Azure DevOps, etc.<br/><br/>- Familiarity with MLOps concepts and production model support.<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Databricks Data Engineer Associate or Professional Certification (preferred or must be willing to obtain).<br/><br/>- Experience with whiteboarding, architecture documentation, and delivering technical presentations.<br/><br/>- Ability to manage technical conflict, communicate effectively, and handle multiple client engagements.</p><br/></p> (ref:hirist.tech)


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