Data Integration Engineer - ETL/SQL in Bengaluru, India - Jobeax
Vacancy description
Data Integration Engineer - ETL/SQL in Bengaluru, India
A client of People Impact
India, Bengaluru
Data Integration Engineer - ETL/SQL in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, batch pipelines, reconciliation, production support, and audit-ready https://jobeax.com/link/0tczEVIPDdr4h8mr Have :- Strong experience developing data integration, ETL/ELT, batch processing, and scheduled data delivery solutions.- Proficiency in SQL and experience working with enterprise data sources, file-based integrations, and analytics platforms.- Ability to analyze source-system structures and implement source-to-target mappings and transformation logic.- Experience with data quality validation, reconciliation, exception handling, and root-cause analysis.- Experience supporting SIT, UAT, production deployments, and defect resolution.- Ability to create interface specifications, mapping documents, transformation rules, and operational support procedures.- Strong collaboration skills across Business Analysts, Product Owners, data owners, vendors, Scrum Masters, and engineering teams.- Experience working in Agile delivery environments.Good-To-Have Skills:- Experience with financial services data, including brokerage, wealth management, cash management, deposits, or banking.- Experience performing financial data reconciliation and validation.- Understanding of data governance, auditability, security, and regulatory controls for financial data.- Experience monitoring production jobs and supporting time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business rules.- Develop automated extraction, transformation, validation, reconciliation, and file-generation processes.- Build and maintain reliable scheduled batch jobs and recurring data pipelines.- Implement data quality checks, control totals, exception handling, and reconciliation processes.- Work with stakeholders, data owners, and vendor teams to validate source data, file formats, mappings, and integration requirements.- Support SIT, UAT, production deployment, and data-output validation; investigate and resolve defects.- Troubleshoot discrepancies, perform root-cause analysis, and implement corrective and preventive actions.- Optimize data extraction and transformation processes for performance, scalability, and reliability.- Monitor production jobs, investigate failures, and ensure timely delivery of data https://jobeax.com/link/nZRXbBOR1WK8A6WZ Qualifications / Good to Have:- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.- Relevant experience in place of formal education may be considered.- Financial services integration experience is strongly preferred. (ref:hirist.tech)
... technical skills to optimize data delivery and reduce costs Responsible to mentor Data Engineers at all levels of experience Advanced experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, SAP Datasphere, Power BI, SSIS or other cloud-based data systems Advanced experience with Azure ...
... teams. - Support design quality, integration milestones, sign-off activities, and tapeout readiness . - Mentor junior engineers and contribute to improving RTL integration methodologies and best practices. WHAT MAKES YOU A GREAT FIT - 7+ years of experience in RTL design, RTL integration, SoC integration, or semiconductor product ...
... interface specifications, and operational procedures. Participate in design reviews and recommend improvements to payment integration architecture. Mentor junior engineers and provide technical guidance on Postilion integrations. Qualifications: Bachelor's degree in computer science, Information Technology, Engineering, or a ...
... platforms, specifically Boomi and Workato. Data & Scripting: Strong practical experience with cloud data platforms (e.g., Snowflake), SQL, Alteryx Designer for ETL and Python. takes proactive initiative to lead complex epics from discovery through implementation with minimal supervision. AI-Driven Engineering: Enthusiastic ...
... translate them into scalable solutions.- Integrate Pega applications with upstream/downstream enterprise systems.- Work with customer data, data models, APIs, databases, and ETL processes.- Troubleshoot application, data, and integration issues.- Collaborate with business analysts, architects, developers, QA, and data teams.- ...
... We are looking for a highly experienced Senior QA Engineer with 10+ years of hands-on testing experience to lead quality assurance initiatives across complex data-driven and healthcare applications. This role requires deep expertise in Snowflake, SQL, ETL testing, Dashboard Testing and US Healthcare domain. The candidate ...
... maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.- Write and optimize complex SQL queries in BigQuery for data transformation, extraction, ...
... event-driven architecture, ETL / data pipelines, and SQL at scale. - Solid experience designing and consuming RESTful APIs; Working knowledge of relational databases (MySQL or PostgreSQL), including schema design, indexing, query optimization, and migration safety at scale. - Bachelor's degree in Computer Science, Engineering, or ...
... data models to unlock alternative ancillary revenue streams and operational efficiencies BI Engineering & Data Architecture Management: Data Visualization Integration: Oversee the construction of enterprise-level Power BI dashboards utilizing complex DAX logic and Power Query to surface executive-level insights ETL Pipeline ...
... Hands-on testing of data warehouses (Snowflake or equivalent) - Strong SQL — you write and run your own queries against relational databases - Experience validating data accuracy across multiple sources, ETL pipelines, and visualization tools - Comfort with functional, regression, performance, and integration testing - Bachelor's ...
... years of working experience with Data Engineering. - Core Languages: Proficient in SQL and Python for data manipulation, ETL pipeline building, and debugging. - ETL with IDMC: Practical experience building and monitoring mapping tasks, taskflows, and data integration pipelines within the Informatica Intelligent Data Management ...
... utilize BI tools effectively. Data Engineering Expertise: Utilise SQL for data engineering tasks, ensuring data is clean, accurate, and ready for analysis. Develop ETL processes to automate data extraction, transformation, and loading from various sources. API Integration: Work with APIs to integrate various data sources into ...
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
... science workloads is desirable. - Demonstrated commitment to technical rigor and model explainability through Responsible AI practices. - Proficiency in Python, SQL, and data engineering for analytical / process data modeling. - Experience in machine learning, deep learning, or optimization algorithms applied to real-world ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, ...
... Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...