Oracle Data Engineer Job at Beacon Hill (Philadelphia)

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Python Data Engineer

Arthur Lawrence is looking for a Python Data Engineer one of our clients in Hous...

Location

United States , Houston

Salary:

Not provided

Arthur Lawrence

Expiration Date

Until further notice

Requirements

7+ years of professional Python development
Strong knowledge of OOP, design patterns, and SOA
Hands-on experience in data engineering, data pipeline development, and web scraping (Requests, BeautifulSoup, Selenium)
Oracle/PL SQL expertise, stored procedures
Bachelor’s degree in Computer Science, MIS, or related field
Agile/Scrum experience

Fulltime

Data Engineer

Are you a Data Engineer based in Austin, Texas, who is inspired by working with ...

Location

United States , Austin

Salary:

100000.00 - 135000.00 USD / Year

Beezwax Datatools

Expiration Date

Until further notice

Requirements

4-6 years of hands-on data modeling and data engineering experience
Strong expertise in dimensional modeling and data warehousing
Database design and development experience with relational or MPP databases such as Postgres/ Oracle/ Teradata/ Vertica
Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang)
Proficiency in advanced SQL and performance tuning
Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc
Experience with Java, Scala and Python
Experience with cloud computing platforms like AWS, Google Cloud
Experience working with APIs
Ability to learn and adapt to new tools and technologies

What we offer

Competitive compensation
Retirement plan with employer matching
Excellent healthcare package with vision and dental
Support for productivity and continued learning in the forms of hardware, software, learning materials, training, and conferences

Fulltime

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

Fulltime

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Well-being support
Growth opportunities
Work-life balance support

Fulltime

Ab Initio Data Engineer

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics)
Minimum 5 years of extensive 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

Job Responsibility

Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans
Build Web-Service and RESTful graphs and create RAML or Swagger documentations
Complete understanding and analytical ability of Metadata Hub metamodel
Strong hands on Multifile system level programming, debugging and optimization skill
Hands on experience in developing complex ETL applications
Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues
Strong in UNIX Shell/Perl Scripting
Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3
Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment
Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now

Fulltime

Oracle Data Engineer

Beacon Hill

Location:
United States , Philadelphia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 26, 2026

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Job Posted:
March 26, 2026