... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...
... 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 ...
... collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain ...
... messy business asks into scalable system https://jobeax.com/link/zABiRF8nauLzFTnq Join Us?This role offers the opportunity to directly impact revenue growth and working capital efficiency for a business operating across multiple geographies and brands. You will have the autonomy to build a decision-grade data foundation from ...
... and analytics use cases in mind - In depth experience in System design involving large Petabytes of data with Databricks Lakehouse - Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context) - AWS, GCP, Snowflake and Data pipeline frameworks like Airbyte/Airflow ...
... similar evaluation projects. Important Project Eligibility This opportunity is intended for practicing web developers with strong frontend skills. Backend-only, ML/data science-only, mobile-native, and DevOps-only backgrounds are not suitable for the role. Designers without coding experience and developers who have only worked ...
... opportunities with increasing levels of ownership and influence. A fully remote work culture with a diverse, international team. Competitive base salary with a focus on long-term stability and professional autonomy. Location: Remote Working Hours: Flexible working hours across European, North American, or LatAm time zones
... ensuring that data pipelines are robust, efficient, and scalable Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners. Implements and maintains reliable and scalable data infrastructure to move, process and serve data. Writes, deploys ...
... Hands-on experience withUnix Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration ...
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 ...
... and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate multiple data sources. Build and support Snowflake data warehouse and data lake solutions. Develop data models for reporting, ...
... experience. - Experience building and operating distributed data systems. Preferred Skills: AWS technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM. Workflow orchestration tools such as Airflow and AWS Step Functions. Experience with NoSQL databases and data stores. Understanding of SDLC, CI/CD, code reviews, testing, ...
... learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks to ensure absolute consistency and accuracy across the network. Define and maintain strict access control, governance, and data privacy standard practices across ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark / Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability to re-implement governance and control frameworks natively in Databricks ...