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)
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
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... pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... 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 ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
... to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication ...
Required Skills & Experience • 3–4 years of experience in data testing or ETL testing roles • Strong SQL querying skills • Experience validating data pipelines and transformations • Basic familiarity with Python-based data pipelines (reading logs, outputs) • Understanding of ETL/ELT concepts and data reconciliation techniques ...
... developing REST APIs using FastAPI. Hands-on experience with Splink for entity resolution and record linkage. Strong SQL and Python programming skills. Experience with ETL/ELT pipeline development. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of data engineering best practices and scalable architectures. Experience ...
... business stakeholders, implementation partners, and internal IT teams to understand requirements and deliver solutions.- Perform root-cause analysis and resolve integration, reporting, and configuration issues within agreed timelines.- Support mass data uploads, user template processing, and outbound integration requirements.- ...
... decision-making. Develop and maintain data pipelines using Databricks and other ETL tools. Collaborate with cross-functional teams to define data requirements and ensure data quality. Create and maintain dashboards and reports to visualize key metrics and trends. Perform data modeling and data integration tasks to enhance data accessibility ...
... Requirements - Proven hands-on experience in big data engineering, including building and maintaining large-scale data pipelines. - Advanced proficiency in Python for data processing, automation, and system integration. - Strong understanding of relational and NoSQL databases, including database design, optimization, and administration. ...
... Requirements - Proven hands-on experience in big data engineering, including building and maintaining large-scale data pipelines. - Advanced proficiency in Python for data processing, automation, and system integration. - Strong understanding of relational and NoSQL databases, including database design, optimization, and administration. ...
... Reltio, Informatica, DataBricks, Azure, Oracle, and Snowflake.- Strong expertise in data integration, ETL processes, and API development.- Solid understanding of data governance, quality management, and compliance standards.- Experience working with multiple data sources, country-specific data models, and life sciences MDM ...
... long-term maintainability before go-live - Perform data reviews, validating migrated data for completeness, accuracy, and integrity, and reconciling source-to-target data so the product reflects trusted, audit-ready customer data - Own complex customer data migration end to end, including database schema mapping, ETL tool configuration, ...
... patterns. - Develop robust ingestion, ETL/ELT and integration pipelines using SQL, Python or PySpark as appropriate. - Design and maintain dimensional and analytical data models, including star schemas, facts, dimensions and Power BI semantic models. - Implement automated data-quality, validation, reconciliation and schema-change ...