Hadoop Data Engineer Job at Realign (Addison)

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
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. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

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

5-8 years of relevant experience
Experience with 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Good exposure to data modeling techniques
Design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Understanding of Data Warehousing concepts
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Developing high quality data products to support the Bank's regulatory requirements and data driven decision making
Serving as an example to other team members
Working closely with customers
Removing or escalating roadblocks
Contributing to business outcomes on an agile team

What we offer

Resources to meet unique needs
Empowerment to make healthy decisions
Support for managing financial well-being
Help planning for future

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

5-8 years of relevant experience
Experience with 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Good exposure to data modeling techniques
Design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Understanding of Data Warehousing concepts
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Developing high quality data products to support the Bank's regulatory requirements and data driven decision making
Serving as an example to other team members
Working closely with customers
Removing or escalating roadblocks
Contributing to business outcomes on an agile team

What we offer

Resources to meet unique needs
Empowerment to make healthy decisions
Support for managing financial well-being
Help planning for future

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

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

Data Engineering Manager

We are looking for a talented Data Engineering Manager with over 8 years of expe...

Location

India , Bengaluru

Salary:

Not provided

6sense

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role
Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools
Proficiency in programming languages such as Python and Java
experience with Scala is a plus
Proven track record of designing and implementing scalable data systems and pipelines
Excellent leadership, communication, and interpersonal skills
Strong problem-solving and analytical abilities and a proactive approach to addressing challenges
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

Job Responsibility

Lead, mentor and manage a team of data engineers, and tech leads
Build, hire and grow the team
Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop
Ensure data quality, consistency, and security across all data systems
Relentlessly pursue goals on data coverage, data freshness, data quality and key performance & SLA metrics
Have high technical competence and background with track record of individual technical accomplishments
Play the role of the architect for the team
Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption

What we offer

Health coverage
Paid parental leave
Generous paid time-off and holidays
Quarterly self-care days off
Stock options
Equipment and support for remote or onsite work
Learning and development initiatives including LinkedIn Learning
Quarterly wellness education sessions
ERG-hosted events.

Fulltime

Data Engineering Lead

Data Engineering Lead a strategic professional who stays abreast of developments...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data
Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting
Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data

Fulltime

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

Hadoop Data Engineer

Realign

Location:
United States , Addison

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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