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)
... Strong proficiency in Python, SQL, and Spark/PySpark.- Hands-on experience with Azure Data Factory, Azure Databricks, and/or Synapse Analytics.- Experience with ETL/ELT frameworks and data integration tools.- Good understanding of data engineering concepts and data pipeline architecture.- Experience with data transformation, ...
Must-Have Skills :- 9+ years of relevant experience in Data Engineering and project delivery.- Strong expertise in Big Data concepts and cloud implementation projects.- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).- Excellent hands-on experience with Python, PySpark, and ...
... 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 :- ...
... https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Design, develop, and maintain scalable data pipelines using Azure data services.- Build and optimize ETL/ELT processes using Azure Data Factory (ADF).- Develop data integration solutions using Azure Databricks, PySpark, and Spark SQL.- Design and implement data lakes using Azure Data Lake Storage ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...
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. ...
... 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 ...
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 ...
... mining, ETL, and data warehousing solutions Knowledge of agile methodologies such as SCRUM Work on cutting-edge data technologies Impact business decisions through data-driven insights Opportunities for professional growth and mentorship If you are passionate about data engineering and looking for an exciting opportunity, apply ...
... experience with Python, SQL, and PySpark. Strong understanding of unit testing, test automation, debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, ...
... Bachelor/Master's Degree with 4+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.) Extensive hands-on experience with data engineering techniques and Python & SQL Strong working knowledge of Snowflake, Airflow and dbt You are comfortable and have expertise in data engineering tooling ...
... & Technical Skills: Must To Have Skills: Proficiency in Python (Programming Language). Strong understanding of data structures and algorithms. Experience with ETL tools and data integration techniques. Familiarity with cloud platforms such as AWS or Azure. Knowledge of database management systems and SQL. Additional Information: ...
... Bachelor/Master's Degree with 4+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.) Extensive hands-on experience with data engineering techniques and Python & SQL Strong working knowledge of Snowflake, Airflow and dbt You are comfortable and have expertise in data engineering tooling ...
... work Bachelor's degree or higher in Computer Science, Data Engineering, or a related field (or equivalent professional experience) - 3+ years of experience in data engineering, analytics engineering, or a similar data-focused role - Strong SQL skills, including schema design for data warehouse or data lake use cases - Proficiency ...