Senior ETL Developer

Job Description

Why MResult Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult's expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. What We Offer: At MResult, you can leave your mark on projects at the world's most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values Agility, Collaboration, Client Focus, Innovation, and Integrity are woven into our culture, guiding every decision. What This Role Requires Design, build, and maintain scalable ETL solutions using SQL Server Integration Services (SSIS). Develop complex T-SQL queries, stored procedures, and functions for data transformation and processing. Work with Azure Data Factory (ADF) to orchestrate and automate data workflows. Migrate on-premises SSIS solutions to Azure SQL Database, SQL MI, or Azure Synapse. Ensure data quality, governance, and security compliance in all developed solutions. Collaborate with business analysts, architects, and stakeholders to gather requirements and deliver high-quality data solutions. Apply performance tuning techniques to improve query execution and package runtimes. Utilize Azure Databricks for advanced transformation or batch processing where needed, in collaboration with data science teams. Document solutions, perform peer code reviews, and contribute to knowledge sharing across the team. Monitor and troubleshoot data pipeline performance, implementing improvements as needed. Key Skills to Succeed in This Role: Proven experience as an ETL Developer with a minimum of 5+ years of hands-on experience. Excellent exposure in Designing, developing, and deploying scalable data pipelines and ETL processes using Databricks. Optimize Spark jobs and ensure efficient data processing and storage. Develop and maintain Databricks notebooks, workflows, and dashboards. Proficiency in SQL Server and T-SQL (stored procedures, triggers, views). Strong experience with SSIS for ETL development, data migration, and data integration. Solid understanding of data warehousing concepts, data modelling, and data integration patterns. Experience with SQL Server Data Tools (SSDT) for designing, testing, and deploying SSIS packages. .5+ years of hands-on experience with Azure data services including Azure Data Factory, Azure Blob Storage / Data Lake, Azure SQL and so on. At least 3 years of exposure or hands-on experience with Azure Databricks, with willingness to deepen expertise. Ability to troubleshoot and optimize SSIS packages /ETL pipelines for performance. Monitor and manage data processing jobs to ensure high availability and reliability Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services. Strong proficiency in programming languages such as Python, Scala. Collaborate with stakeholders to understand data requirements and translate them into technical solutions Databricks. Experience working in any one ETL tool like Informatica(Other than Databricks). Strong problem-solving skills and attention to detail. Experience with version control systems like Git is a plus. Exposure to Power BI or other data visualization tools is a plus. Manage, Master, and Maximize with MResult MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult where your ideas help shape the future.