... Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve ...
... other relevant programming languages. - Strong experience with data warehousing concepts and tools. - Experience with ETL tools and processes. - Familiarity with data visualization tools. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. - Knowledge of data security and ...
Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...
... PySpark, and SQL. - Strong understanding of data modelling. - Strong knowledge of query performance tuning and optimisation techniques. 5+ years' experience as a data engineer in complex data ecosystem. - Extensive experience working in an agile environment. - Experience with cloud data platforms like AWS Redshift, Databricks. ...
... of the business. Expertise working experience with programming languages like Python, and SQL Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics Research, design, and implement data modeling to solve complex problems Understand business requirements and translate into data pipelines ...
... experience with 3+ years in Graph based solutions - Proficiency with graph databases such as Neo4j, TigerGraph, AWS Neptune, or similar. - Strong knowledge of graph data modeling, query languages (e.g., Cypher, Gremlin, GSQL, SPARQL). - Solid experience building scalable ETL pipelines - Work Experience on data transformation and ...
... Department: BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Banks (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, ...
... the efficiency, security, and accuracy of master data across our systems, enabling seamless information flow within our global organization. Day-to-day, you’ll work closely with teams across engineering, IT operations, and manufacturing, while also managing critical data activities, performing data analysis and cleansing, ...
... efficiency, cost modeling, capacity planning, and quality enhancements. Develop a deep understanding of systems and processes to extract insights from existing data while identifying and recommending IT enhancements to improve data quality. Develop strong partnerships with IT application owners and data management teams to ...
... quality commitments. In an agile product environment (build/run activities), delivery is achieved through successive releases of features associated with the data scopes and uses prioritized with the different client business lines The Data Engineer works closely with the entire squad and especially the Product Owner, the ...
... Java, JavaScript, or Python OR equivalent experience. Experience building scalable and highly available cloud services spanning multiple regions and/or clouds. Data modeling and big data processing experience Experience in work management and asset inventory systems #This position will be open for a minimum of 5 days, with ...
... you unblock touch nearly every workflow in the product. What you'll do - Own the data platform roadmap end to end — ingestion, enrichment, matching, vertical data models, and the sync between our warehouse, CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across ...
... Strong hands-on experience with data platforms such as Databricks.- Solid knowledge of data modeling, SQL, Spark, and Python.- Experience with orchestration frameworks, data quality tooling, and observability practices.- Exposure to unstructured data processing and AI/GenAI data pipelines is a strong plus.- Experience working ...
... data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment. Job Title Junior Data Engineer Job Description We are looking for a skilled Data Engineer with 2-4 years of experience ...
... frameworks. Proficient in Python, PySpark, SQL - Profound experience in Spark based data lake & extended services like, Azure Databricks (Workflows/Jobs), Azure Data Factory, Azure Data Lake Storage Gen2, Delta Lake and Terraform - Experience with Git, CI/CD pipelines and Azure DevOps. - Expertise working with relational databases ...
... implementing CI/CD, container orchestration and observability for data systems. - Knowledge of data governance, metadata/catalogue tools, lineage and data quality frameworks (i.e. Strong grasp of security, data privacy and regulatory requirements (e.g., GDPR, data residency). - Professional certification such as Databricks or AWS ...
... visualizations, and reports. - Basic understanding of data modeling and data warehousing concepts. - Strong analytical skills with the ability to interpret complex data sets and present clear insights. - Excellent communication skills, both written and verbal. - Ability to work independently and collaboratively in a fast-paced ...
... loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. - Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.). - Strong ...
... Bachelor's or Master's degree in Computer Science/Information Systems. At least 4+ years of experience in building data flow and data management on a modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ETL pipelines. Knowledge of data structures. ...