Senior Data Engineer

<div><strong>Senior Data Engineer (Informatica &amp; PySpark)</strong></div><div><strong>Position Title:</strong> <strong>Senior Data Engineer  </strong></div><div><strong>Location:</strong> <strong>Cleveland, OH or Pittsburgh, PA (3 days onsite) </strong></div><div><strong>Duration: Full Time</strong></div><div><br></div><div><strong><u>Job Duties:-</u></strong></div><ul><li><strong>Experience:</strong> 8–10 years in Data Engineering and Data Analysis.</li><li><strong>Informatica Expertise:</strong> Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.</li><li><strong>PySpark Development:</strong> Advanced skills in PySpark for large-scale data processing, transformation, and analytics.</li><li><strong>Hadoop Ecosystem:</strong> Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).</li><li><strong>Programming Skills:</strong> Proficiency in Python and Kafka for streaming and batch data pipelines.</li><li><strong>Database &amp; Modeling:</strong> Strong understanding of database concepts, data design, data modeling, and ETL workflows.</li><li><strong>ETL Lifecycle:</strong> Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.</li><li><strong>Agile Delivery:</strong> Hands-on experience with Agile methodology and Jira for project delivery.</li><li><strong>Client Interaction:</strong> Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.</li></ul><div><br></div><ul><li><strong>Preferred Skills:</strong></li><li class="ql-indent-1">Exposure to AWS data components and analytics.</li><li class="ql-indent-1">Familiarity with machine learning models and AI concepts.</li><li class="ql-indent-1">Experience with data modeling tools such as Erwin.</li></ul><div><br></div>

Manvendra Singh

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