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Skills: ETL, Informatica, PowerCenter, Talend, DataStage, AbInitio, Large Data Sets, Orchestration, Autosys, CLead Software Engineer – ETL Informatica Developer Jersey City, NJ refontrol-M, Tivoli.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.
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Use of graphical ETL tools (Pentaho Kettle, Talend, Informatica, IBM Infosphere DataStage) or general programming languages like Python is beneficial. Position OverviewThe Senior ETL Developer provides technical leadership in the creation of effective and efficient ETL/ELT programming solutions to support the company’s data strategy.
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Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development. Job Schedulers – Airflow, Oozie or other ETL Scheduler.
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Programming experience in protobuf, gRPC, Flask/Django, Javascript, and/or React. Strong understanding of computer science and software engineering fundamentals, especially data engineering and infrastructures, ETL processes, data integration, and database design.
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We are looking for a Data Operations Manager – a specialist / expert in Retail data handling, ETL, Data Mining, Data Warehouse Design and Management, Scripting / Programming, Building efficient data pipelines, querying large volume of data to extract actionable analytical insights to join the Media/Advertising Analytics team within the Brand Partnership Universe, that is in the spotlight with focus to turn rich data into actionable insights.
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Js) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation. Working on ETL transformation which includes gathering raw data and files from the client, transforming it into Availity's format and sending down the ETL pipeline for further processing.
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Expertise in designing, implementing and operating data engineering platforms and scalable web services, including schema management, transport (Kafka, SQS), warehousing and storage (AWS Redshift, AuroraDB, MySQL, Postgres), processing (streaming and batch ETL/ELT pipelines, Kinesis, Airflow, Spring batch), analytics (Spark, Hadoop, BigQuery, Databricks, Snowflake), and business intelligence reports (Tableau, QuickSight.
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Expertise in programming in at least one of the following languages: Java, Python, Scala, Golang, Rust. Expertise in programming in at least one of the following languages: Java, Python, Scala, Golang, Rust.
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C#, design, design pattern, perl, programming, senior software developer, senior software engineer. Experience in Dimensional Modelling, Data Migration, Data Cleansing, Data conversion and bridging, and ETL techniques on multiple databases and operating systems.
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Required Experience: At least 5+ years' experience as a data engineer ETL/ELT Framework design and Workflow Orchestrations Experience with object-oriented design patterns Experience with ETL Performance Tuning Experience in SQL, PL/SQL programming, Stored procedures, UDFs Experience in Python / PySpark programming Experience with Agile development concepts and related tools Experience conducting root cause analysis and solve issues.
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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
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1 year of experience as a Data Engineer, knowledge of Snowflake, very good knowledge of SQL and programming in Python, ability to work with databases including Snowflake, knowledge of ETL tools and data integration, ability to work in a team with good communication skills.
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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