... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand data issues and Conduct root cause analysis. Prepare Ageing report on the pending issues and follow up to closure Key Skill SQL / Python ...
... subject matter expert in SQL and database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets. ...
... design and implement automated data pipelines and materialized views. - Proficiency in Python, Unix or similar languages. - Good understanding of SQL oracle, SQL server or similar languages. - Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions). - Core Engineering: Data structures/algorithms, ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... Shishir's team, Data analytics CoE head. Someone that can help with the reporting needs, need resource who can support here. Require more data visualization, know data engineering as well. -SQL Tableau -SQL - Need to create data for powerBI and tableua, done in SQL - BCG Data Lake is entirely snowflake - Write SQL queries in ...
... architecture. Previous experience in Data Engineering, we're looking for around 3-7 years worth of experience. Strong SQL skills and experience working with relational databases such as Snowflake, PostgreSQL, or MySQL. Experience building and maintaining data pipelines and ETL workflows using technologies such as AWS Glue, AWS Lambda, ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... cost-aware query design. Advanced SQL skills, including window functions, recursive CTEs, complex joins, MERGE patterns, and query performance tuning against large datasets. Strong Python development experience for data engineering — building ingestion jobs, transformation logic, reusable libraries, and automation scripts. Experience ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or ...
... Strong experience with SQL and working with APIs is required. Familiarity with data warehousing concepts and tools such as Azure Data Factory or equivalent. Data Handling: Expertise in data engineering, including data cleaning, transformation, and preparation for analysis. Knowledge of data modelling, database design, ...
... 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 ...