NexionPro - Data Support Engineer in Bangalore, भारत

Job Title : Data Support EngineerExperience : 1 - 3 YearsLocation : Bangalore / Chennai / HyderabadWork Mode : HybridRole Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Monitor and support daily data pipeline operations, ensuring timely and accurate data delivery.- Perform L1/L2 troubleshooting for ETL job failures, data discrepancies, and pipeline errors.- Write and optimize SQL queries for data validation, reconciliation, and issue resolution.- Support and maintain Snowflake data warehouse objects, queries, and performance issues.- Assist in developing and maintaining ETL workflows using Python and PySpark.- Perform root-cause analysis for recurring data issues and support permanent fixes.- Collaborate with data engineers and business teams to resolve data quality and pipeline-related tickets.- Document issues, resolutions, and standard operating procedures for recurring support scenarios.- Support production releases, deployments, and post-deployment https://jobeax.com/link/JGXdd2xSfvn28XXj Skills :- Snowflake - Hands-on experience with querying, basic administration, and troubleshooting- ETL - Understanding of ETL/ELT concepts and pipeline workflows- SQL - Strong query writing, debugging, and optimization skills- Python - Working knowledge for scripting and automation- PySpark - Basic to intermediate hands-on experienceGood to Have :- Experience with cloud platforms (Azure/AWS/GCP)- Exposure to job scheduling/monitoring tools- Ticketing tool experience (ServiceNow, JIRA, etc.)- Basic understanding of data warehousing concepts- Experience in a production support/L1-L2 support environmentIdeal Candidate :A candidate with 1 - 3 years of experience who is comfortable working in a support-driven environment, has hands-on exposure to Snowflake, SQL, Python, and PySpark, and can quickly troubleshoot and resolve data pipeline issues under time-sensitive conditions. (ref:hirist.tech)