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Pinnacle Infotech - Data Engineer - ETL/Big Data Job Opening In Madurai – Now Hiring PINNACLE INFOTECH SOLUTIONS

Pinnacle Infotech Data Engineer ETL/Big Data

    India Jobs Expertini Expertini › India › Jobs › Madurai › Computer Occupations › Pinnacle Infotech Data Engineer Etl/big Data

Job description

<p><p><b>Job Summary :</b><br/><br/>We are seeking a highly proficient Data Engineer with 46+ years of specialized experience in designing, building, and maintaining robust, scalable, and secure data infrastructure.

</p><p><br/></p><p>This role is pivotal in enabling advanced analytics, reporting, and machine learning use cases by focusing on data integration, transformation (ETL/ELT), and optimal storage solutions.

</p><p><br/></p><p>The engineer will collaborate closely with data analysts, data scientists, and software engineers to ensure high-quality, well-structured datasets are accessible, accurate, and ready for critical business decision-making and product innovation.<br/><br/><b>Job Description :</b><br/><br/><b>Data Pipeline Architecture and Development :</b></p><p><p><b><br/></b></p>- Design, build, and optimize scalable and resilient data pipelines and architectures, ensuring reliable, high-volume data flow from various sources.<br/><br/>- Utilize expert proficiency in programming languages such as Python, Java, or Scala for the development and maintenance of complex data processing pipelines.<br/><br/>- Implement and manage stream processing technologies like Kafka or Kinesis to handle real-time data ingestion and processing requirements.<br/><br/>- Lead the technical execution of data integration, transformation, and storage processes (ETL/ELT) to deliver clean, structured data for downstream consumption.<br/><br/>- Apply strong analytical and troubleshooting skills to proactively identify and resolve data quality, pipeline performance, and data integrity issues.<br/><br/><b>Database and Data Modeling Expertise :</b><br/><br/></p><p>- Demonstrate expertise in relational databases (e.g., PostgreSQL, MySQL, SQL Server), including advanced schema design, indexing, and tuning for analytical efficiency.<br/><br/>- Possess strong proficiency in SQL for complex data querying, manipulation, and stored procedure development.<br/><br/>- Apply hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) to architect solutions for unstructured or high-volume, low-latency data storage needs.<br/><br/>- Implement effective data modeling techniques to optimize database structures for both transaction speed and analytical reporting.<br/><br/><b>Analytics, Integration, and Collaboration :</b><br/><br/></p><p>- Ensure data readiness and availability to support diverse Analytics & Integration use cases, including complex data science and machine learning (ML) workloads.<br/><br/>- Apply solid knowledge of API integration principles to reliably ingest data from external services and internal microservices.<br/><br/>- Work closely with cross-functional teams (Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver datasets that support business decision-making and product innovation.<br/><br/>- Serve as a technical resource for data consumers, advising on optimal data access patterns and governance standards.<br/><br/><b>Required Skills & Expertise :</b><br/><br/><b>Programming :</b><br/><br/></p><p>- Mandatory proficiency in Python, Java, or Scala for high-performance data pipeline construction.<br/><br/><b>Databases (Relational) :</b><br/><br/></p><p>- Expert knowledge and hands-on experience with relational databases (PostgreSQL, MySQL, SQL Server) and strong SQL mastery.<br/><br/><b>Databases (NoSQL) :</b><br/><br/></p><p>- Hands-on experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).<br/><br/><b>Streaming/Big Data :</b><br/><br/></p><p>- Experience with stream processing technologies (Kafka, Kinesis) and distributed data processing frameworks (e.g., Apache Spark).<br/><br/><b>Data Integration :</b><br/><br/></p><p>- Expertise in ETL/ELT processes, data modeling, and API integration for data sourcing.<br/><br/><b>Quality & Performance :</b></p><p><p><b><br/></b></p>- Strong analytical and troubleshooting skills focused on data quality assurance and pipeline performance optimization.<br/><br/><b>Soft Skills :</b></p><p><p><b><br/></b></p>- Excellent problem-solving and analytical thinking capabilities, combined with effective team collaboration and communication.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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