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)
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, Kubernetes delivery, database integration, and secure LLM API https://jobeax.com/link/LMrjeOxMWhdXVNNX Responsibilities :- ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... professional. Key Responsibilities: Pipeline Development: Assist in writing and maintaining ETL (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help ...
... tools to streamline data engineering workflows. Collaborate across teams to facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
... Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. Knowledge of data visualization tools (Matplotlib, Seaborn, or similar). Experience in building data pipelines or ETL processes. Familiarity ...
... data quality, reliability, and performance across data systems Required Skills: - Scala (must-have), python - Apache Spark - Strong coding fundamentals and engineering principles - Azure or on-premises Hadoop ecosystem experience - 5+ years of experience in Data Engineering - Python * SQL * AWS / Azure / GCP Preferred (Bonus) ...
... a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering ...
Role :Lead Engineer - Conversion/Migration Skills - Mandatory-SQL Server, ETL/Data Migration Skills - Good to have -SSIS, Azure Data Factory Work location: Kochi/Trivandrum Total Experience: 6-9 years Strong hands-on expertise in SQL Server (T-SQL) and relational database design, with solid experience in data migration ...
... Programming: Proficiency in Python or Java for data processing, automation, and pipeline development. ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data. Database Management: Strong command of SQL; working knowledge of NoSQL databases like MongoDB or Firestore. ...
... Pipeline, ETL/ELT, and Data Warehousing. - Effective use of AI and/or LLMs to increase efficiency in deliverables. - Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration ...
... platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working ...
Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...