ETL Specialist

Job Description: Position: ETL Specialist Location: Hyderabad Experience Required: 6-10 Years Notice Period: Immediate to 15 days Role Overview We are seeking an experienced ETL Specialist to join our data team. In this role, you will be responsible for designing, implementing, and managing ETL (Extract, Transform, Load) processes to support our data initiatives. Your expertise will drive data consistency, quality, and availability across our systems, enabling critical business insights and analytics. Key Responsibilities ? Design and develop scalable ETL workflows to manage and transform complex datasets. ? Collaborate with data architects, data scientists, and business analysts to understand data requirements and optimize data flows. ? Implement data validation, cleansing, and transformation processes to ensure data integrity. ? Monitor and troubleshoot ETL jobs, identifying and resolving data inconsistencies or performance issues. ? Maintain comprehensive documentation for ETL processes and data flows to support data governance and audit requirements. Qualifications ? Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. ? 6+ years of experience with end-to-end ETL processes, data modeling, and data integration. ? Proficiency with ETL tools (e.g., Informatica, Talend, Apache NiFi) and scripting languages like Python for advanced data manipulation. ? Advanced SQL skills for querying, performance tuning, and troubleshooting within large datasets. ? Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake, Google BigQuery). ? Hands-on experience with Big Data technologies (e.g., Hadoop, Spark) for handling large volumes of data. ? Strong understanding of data governance, data quality frameworks, and data security protocols. ? Experience with job scheduling and monitoring tools (e.g., Apache Airflow, Control-M) to manage complex ETL workflows. ? Proven ability to optimize ETL processes for performance and scalability. ? Familiarity with cloud-based ETL environments (AWS Glue, Azure Data Factory) is a plus. ? Excellent problem-solving skills and a detail-oriented approach to data validation. Technical Skills: ETL, SQL, Data Warehousing, Informatica, Apache NiFi, Talend, Data Modeling, Python, Big Data, Hadoop, Spark, Amazon Redshift, Snowflake, Google BigQuery, Apache Airflow "