Technical Lead

2 weeks ago

Bengaluru India Infinite Computer Solutions Full time

Job Description Job Description Job Title: ETL Developer Position Summary We are seeking a skilled ETL Developer to design, build, and maintain robust data pipelines for structured and semi-structured data across real-time, near-real-time, and batch workloads. The ideal candidate will be hands-on with modern ETL tools and data platforms, with strong experience in Snowflake, data integration, and data quality management. Required Skillset & Experience - 7+ years of experience as an ETL Developer or Data Engineer. - Proven expertise in ETL/ELT pipeline design for structured and semi-structured data. - Hands-on experience with Qlik Replicate or equivalent real-time replication tools. - Strong proficiency with Snowflake (data ingestion, SQL, performance tuning). - Solid understanding of data integration from APIs and external data sources. - Experience in data modeling, normalization, and relational database design. - Knowledge of data governance, quality frameworks, and best practices. - Proficient in Python and Java scripting for ETL logic and automation. - Familiarity with CI/CD tools such as Git, Jenkins, or Azure DevOps. - Experience working with distributed databases like YugabyteDB. Key Responsibilities - Design, develop, and maintain efficient ETL/ELT pipelines to ingest, transform, and load data from a variety of sources. - Implement real-time and near-real-time replication using tools like Qlik Replicate or similar technologies. - Work extensively with Snowflake, including data loading, transformation (SQL and scripting), and performance tuning. - Integrate and manage multiple data sources, including flat files, databases, and third-party APIs. - Develop and optimize data models, ensure proper data normalization, and maintain high-quality data structures. - Ensure data governance, data lineage, and security compliance throughout the data lifecycle. - Implement and support CI/CD pipelines for automated data pipeline deployments and testing. - Write efficient Python and Java scripts for data manipulation, transformation, and automation tasks. - Collaborate with DevOps and cloud teams to build scalable, fault-tolerant data workflows. - Utilize and manage distributed SQL databases such as YugabyteDB. - Perform data validation, error handling, and implement logging and monitoring for pipeline health and SLA compliance. Qualifications BE Range Of Year Experience-Min Year 5 Range Of Year Experience-Max Year 7

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