Senior Data Engineer (with Data Analyst skills) Job at N-iX

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Senior Data Profiling Analyst (SQL, Data Governance & Analytics)

We are seeking a highly analytical and detail-oriented Senior Data Profiling Ana...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Analysis, Business Analysis, Systems Analysis, Data Governance, or Data Liaison roles
8+ years of experience gathering business requirements and translating complex data needs into actionable analytical solutions
8+ years of experience working with complex enterprise datasets and analytics projects
Strong SQL expertise for data extraction, transformation, profiling, analysis, and validation
Experience performing data profiling, data discovery, and data quality assessments
Experience documenting and validating business data lineage and data relationships
Strong communication skills with the ability to present technical information to business users and executive stakeholders
Excellent analytical, problem-solving, presentation, and interpersonal skills
Experience collaborating with cross-functional teams and stakeholders across business and technology organizations

Job Responsibility

Gather and analyze business requirements and translate complex data acquisition and operational requirements into actionable data profiling and analytics solutions
Perform data discovery, profiling, validation, and quality assessments across multiple enterprise data sources
Utilize SQL to extract, manipulate, enrich, and analyze large datasets to support business and analytics initiatives
Collaborate with business users, performance analysts, data engineers, and IT leadership to identify and document data relationships, dependencies, and lineage
Analyze data quality issues and recommend corrective actions to improve data accuracy, consistency, and reliability
Document data definitions, business rules, metadata, and data lineage artifacts to support enterprise data governance initiatives
Serve as a liaison between business stakeholders and technical teams to ensure data requirements are clearly understood and implemented
Explain technical findings, data limitations, and analysis results in clear, concise language for non-technical audiences and executive leadership
Support analytics development efforts by validating data sources and ensuring data readiness for reporting and business intelligence solutions
Participate in data governance activities and contribute to the development of data quality standards and best practices

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

New

Senior Data Engineer (Microsoft Fabric)

We are looking for an experienced Senior Data Engineer (Microsoft Fabric) to joi...

Location

Ukraine

Salary:

Not provided

Binariks

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering
Strong hands-on experience with ELT, data pipelines, and data integration tools, including Microsoft Fabric and Azure Data Factory (ADF)
Proven experience designing and deploying scalable data architectures with a strong focus on ETL/ELT processes
Solid experience designing, developing, and managing enterprise-grade data platforms
Experience working with large-scale datasets, modern data warehouse technologies such as Snowflake, and data processing solutions in real-time and batch environments
Experience with cloud technologies, preferably Microsoft Azure, but AWS will be fine too
Strong knowledge of database technologies, including Oracle, MS SQL Server, and PostgreSQL
Experience with data governance concepts, including data lineage, data quality, and data security
Ability to design and manage data storage, data processing, and data quality frameworks
Ability to work effectively in a fast-paced environment

Job Responsibility

Architect and implement robust ELT processes using Azure Data Factory and Microsoft Fabric
Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from multiple enterprise sources into Microsoft Fabric Lakehouses, Warehouses, and downstream Azure SQL databases
Build and maintain cloud-based data platforms and analytics solutions using Microsoft Fabric
Implement and promote modern software engineering principles and best practices in CI/CD and DevOps
Collaborate closely with data engineers, infrastructure teams, business stakeholders, and application teams to ensure effective data integration and accessibility
Partner with data analysts and data scientists to enable analytics and support data-driven decision-making
Enable and support self-service data engineering capabilities across the wider data organization
Identify opportunities for improving the data platform infrastructure and deliver scalable solutions
Monitor system performance, troubleshoot issues, and optimize platform reliability and efficiency
Develop and maintain technical documentation related to the data platform and its infrastructure

What we offer

18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
Play Room
IT Cluster membership
Business Trip
Tech Talks
Training & Conferences

Fulltime

Senior Data Analyst

Unite Students have a great opportunity for a Senior Data Analyst to join our te...

Location

United Kingdom , Bristol

Salary:

Not provided

Unite Students

Expiration Date

Until further notice

Requirements

Strong experience in data analysis and reporting, using SQL, Python and Tableau or similar
Experience working with a data warehouse/lakehouse or cloud data platforms such as Databricks or Snowflake
Confidence working with senior stakeholders, including presenting findings and recommendations
Ability to prioritise, deliver at pace, meet deadlines and operate effectively in a fast-moving environment
Comfortable working autonomously while collaborating closely with cross-functional teams
Proven ability to connect to, combine and analyse data from multiple systems and sources
Excellent analytical and problem-solving skills, with a strong focus on data quality
Experience translating business questions into analytical approaches and clear insights
Strong written and verbal communication skills, particularly for non-technical audiences

Job Responsibility

Leading analytical work to align, reconcile and compare data across legacy and newly acquired systems
Developing and maintaining high-quality dashboards using Tableau
Using Databricks to access and analyse large and complex datasets
Partnering closely with data engineering, BI and other technical teams to support data integration and reporting solutions
Engaging with senior stakeholders to understand requirements, clearly explain insights, and influence decision-making through data
Translating complex analysis into clear, actionable recommendations for non-technical audiences
Delivering business-wide insight through KPI reporting, statistical modelling, data quality assurance and targeted ad-hoc analysis
Acting as a role model for analytical best practice and supporting other analysts where appropriate

What we offer

Discretionary annual bonus
25 days' paid holiday and annual holiday buying scheme, with 5 additional days awarded for long service
Generous pension scheme (employer contributions between 5% and 11%)
Healthcare Cash Plan
Employee Assistance Programme
Wellbeing platform
Gym benefit that you can share with family and friends
Enhanced Family Leave including 18 weeks full pay for birthing parents and 4 weeks for non-birthing parents
Annual ShareSave scheme
Employee Life Assurance

Fulltime