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    Job · 17899269

    AHMEDABAD · FULLTIME

    Data Engineer

    Trellance logo

    Trellance

    Ahmedabad · onsite · Posted 36d ago

    Sourced fromNaukri
    Undisclosed3–5 yrsfulltimeAhmedabad

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    Section · 01

    About this role

    Job Title: Data Engineer (SSIS)
    Department: ProBridge
    Reporting to: Manager
    Company Detail
    CU Rise Analytics Pvt. Ltd. is a wholly owned subsidiary of Trellance, Inc. CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to offer comprehensive solutions for data analytics, technology and talent to allow our credit union clients to provide high quality service to their members and remain competitive. Our core expertise lies in data science and technology, encompassing data analytics, predictive modelling, business intelligence, and technology services.
    Trellance Cooperative Holdings, Inc. is a credit union cooperative and leading technology partner for credit unions. Its companies - consisting of Rise Analytics, ProBridge, Optiri and CUDX - provide innovative technology solutions for credit unions to increase efficiency, manage risk and improve the member experience. Trellance s mission is to make sure credit unions have access to the tools and resources they need to grow, enhance member value and remain competitive in a rapidly evolving financial landscape.
    Learn more at Trellance.com
    Experience Required: 3 to 5 years
    We are seeking skilled Data Engineer with expertise in SSIS and SQL to join our team. As a Data Engineer, you will be critical in our client s work of Automation import and export and cloud migration from on-premises systems to, a cloud-based data platform. You will be responsible for building robust and efficient SSIS package, transforming raw data, and ensuring smooth data consumption. Experience with Snowflake is a plus.
    Responsibilities:
    • Collaborate with cross-functional teams to understand data requirements and design performant, efficient, and secure data pipelines from the landing zone to the consumption level in SQL server and SSIS.
    • Utilize native SSIS capabilities to implement data transformations, aggregations, and enrichments to meet business needs.
    • Develop and maintain data ingestion processes from various sources to on-premises sources to the landing zone, ensuring data integrity and accuracy throughout the pipeline.
    • Work closely with the architecture team to ensure seamless integration of data sources.
    • Optimize SSIS Package performance, scalability, and reliability, implementing best practices and monitoring mechanisms.
    • Collaborate with data analysts and other stakeholders to understand data consumption requirements and provide solutions for efficient data retrieval.
    • Ensure compliance with data governance policies and industry standards throughout the data engineering process.
    • Continuously stay updated with the latest advancements in Snowflake and data engineering techniques, sharing knowledge and insights with the team.
    Skills & Qualifications:
    Must-Have:
    • Bachelor s degree in computer science, Engineering, or a related field (or equivalent practical experience).
    • Proven experience as a Data Engineer with a focus on SQL Server, including hands-on experience in building end-to-end data pipelines.
    • Strong understanding of SQL Server architecture, data warehousing concepts, and ETL/ELT methodologies.
    • Expert knowledge of SQL (T-SQL specifically for SQL Server), including writing complex queries, stored procedures, and performance optimization techniques.
    • Hands-on experience with Microsoft SQL Server Integration Services (SSIS) is essential, along with general knowledge of other ETL tools
    • Familiarity with cloud platforms (e.g., AWS, Azure) and their data services.
    • Solid understanding of data modeling principles and ability to design efficient data structures within Snowflake.
    • Strong problem-solving skills and ability to analyze complex data requirements to develop effective solutions.
    • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
    • Proactive and self-motivated with a passion for data engineering and delivering high-quality solutions.
    • Experience with Snowflake and/or Microsoft Fabric along with foundational SQL + SSIS. Knowledge or experience of ADF will add advantage.
    Preferred Qualifications:
    • Expertise and experience using Snowflake procedures, functions, streams, tasks, external stages, and external tables.
    • Expertise and experience using Snow pipe.
    • Experience with Snowpark, especially with Python.
    • Experience with version control systems (e.g., Git) and CI/CD pipelines.
    • Knowledge of Python or other scripting languages for data processing and automation.
    • Expertise in Banking Data/Domain.
    • Familiarity with data governance frameworks and practices.
    • Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analytics.
    ","


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    AutomationStored ProceduresSSISAnalyticsData StructuresPythonSQLMicrosoftData ModelingBusiness Intelligence

    Section · Company

    About Trellance

    Trellance logo

    Trellance

    Analytics & KPO

    Tampa

    US

    About

    Trellance is a leading provider of business analytics for financial institutions, helping credit unions and banks meet the financial needs of today??????s digital consumer. With a comprehensive suite of data science solutions and predictive models, our team is helping client organizations increase efficiency, manage risk, and improve user experience. And we??????re bringing the next frontier of fintech, filled with artificial intelligence and machine learning, to the financial services industry! It??????s data in, insights and results out.

    Industries

    Analytics & KPO

    Employee ratings

    27 reviews

    3.0/ 5

    Culture

    2.9

    Career growth

    2.7

    Work-life

    3.1

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