Senior Data Engineer / Data Analyst Job at N-iX

Senior Data Engineer (with Data Analyst skills)

As a Senior Data Engineer (with Data Analyst skills), your primary task will be ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

You have 4+ years of relevant work experience as a Data Analytics Engineer
You are analytical, curious, and detail-oriented
You get energy from diverse work and solving complex data questions
You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding
Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders
High motivation, proactiveness, and a genuine enthusiasm for data and product analytics
English level - at least Upper-Intermediate, both spoken and written

Job Responsibility

Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
Measuring the effectiveness of a new feature on the platform
Analyzing and advising on the customer journey (of B2B and B2C customers)
Analyzing the effectiveness of website personalization
Maintaining the tag management system and Snowplow data models in DBT/SQL

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Senior Analyst - Data Engineer

Collaborate with data scientists and business stakeholders to design, develop, a...

Location

India , Mumbai

Salary:

Not provided

Puma Energy

Expiration Date

Until further notice

Requirements

5 years of overall experience & at least 3 years of relevant experience
3 years of experience working with Azure or any cloud platform & Databricks
Proficiency in Spark, Delta Lake, Structured Streaming, and other Azure Databricks functionalities for sophisticated data pipeline construction
Strong capability in diagnosing and optimizing Spark applications and Databricks workloads, including strategic cluster sizing and configuration
Expertise in sharing data solutions that leverage Azure Databricks ecosystem technologies for enhanced data management and processing efficiency
Profound knowledge of data governance, data security, coupled with an understanding of large-scale distributed systems and cloud architecture design
Experience with a variety of data sources and BI tools
Experience with CI/CD and DevOps practices specifically tailored for the Databricks environment

Job Responsibility

Contribute to the development of scalable and performant data pipelines on Databricks, leveraging Delta Lake, Delta Live Tables (DLT), and other core Databricks components
Develop data lakes/warehouses designed for optimized storage, querying, and real-time updates using Delta Lake
Implement effective data ingestion strategies from various sources (streaming, batch, API-based), ensuring seamless integration with Databricks
Ensure the integrity, security, quality, and governance of data across our Databricks-centric platforms
Collaborate with stakeholders (data scientists, analysts, product teams) to translate business requirements into Databricks-native data solutions
Build and maintain ETL/ELT processes, heavily utilizing Databricks, Spark (Scala or Python), SQL, and Delta Lake for transformations
Monitor and optimize the cost-efficiency of data operations on Databricks, ensuring optimal resource utilization
Utilize a range of Databricks tools, including the Databricks CLI and REST API, alongside Apache Spark™, to develop, manage, and optimize data engineering solutions

Fulltime

Senior Analyst - Data Engineer

Main Purpose: Collaborate with data scientists and business stakeholders to desi...

Location

India , Mumbai

Salary:

Not provided

Puma Energy

Expiration Date

Until further notice

Requirements

Contribute to the development of scalable and performant data pipelines on Databricks, leveraging Delta Lake, Delta Live Tables (DLT), and other core Databricks components
Develop data lakes/warehouses designed for optimized storage, querying, and real-time updates using Delta Lake
Implement effective data ingestion strategies from various sources (streaming, batch, API-based), ensuring seamless integration with Databricks
Ensure the integrity, security, quality, and governance of data across our Databricks-centric platforms
Build and maintain ETL/ELT processes, heavily utilizing Databricks, Spark (Scala or Python), SQL, and Delta Lake for transformations
Experience with CI/CD and DevOps practices specifically tailored for the Databricks environment
Monitor and optimize the cost-efficiency of data operations on Databricks, ensuring optimal resource utilization
Utilize a range of Databricks tools, including the Databricks CLI and REST API, alongside Apache Spark™, to develop, manage, and optimize data engineering solutions

Job Responsibility

Collaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake
Maintain the integrity and quality of the data lake, enabling accurate and actionable insights for data scientists and informed decision-making for business stakeholders
Utilize extensive knowledge of data engineering and cloud technologies to enhance the organization’s data infrastructure, promoting a culture of data-driven decision-making
Apply data engineering expertise to define and optimize data pipelines using advanced concepts to improve the efficiency and accessibility of data storage
Own the development of an extensive data catalog, ensuring robust data governance and facilitating effective data access and utilization across the organization
Collaborate with stakeholders (data scientists, analysts, product teams) to translate business requirements into Databricks-native data solutions

Fulltime

Data Engineer / Data Analyst

As a Data Analyst with a growth path toward Data Engineering, you will bridge th...

Location

Hong Kong , Hong Kong

Salary:

25000.00 - 32000.00 HKD / Year

Randstad

Expiration Date

July 12, 2026

Requirements

Bachelor's degree in Computer Science, Data Analytics, or a related field
Strong proficiency in Python (Pandas, PySpark) and complex SQL query optimization
Hands-on experience with Power BI, including security handling, DAX, and report optimization
Open to candidates with 1–2+ years of experience in Data Analytics
A mandatory willingness to learn data engineering skills and tools such as Databricks and Azure Data Factory
Fluent in English (both professional and informal)
Fluency in Cantonese and experience with Databricks, Power Automate, or version control (Git) are highly regarded

Job Responsibility

Developing and optimizing Power BI semantic models, reports, and dashboards to provide actionable insights for senior management
Extracting, transforming, and interpreting data from various sources to support business decision-making
Designing and implementing light data warehouse patterns (Medallion architecture: Bronze/Silver/Gold) using Delta Lake for reliability
Building and maintaining ETL/ELT pipelines using Python and Azure Data Factory
Collaborating with the team to automate manual processes and improve overall data flow efficiency

Fulltime

Senior Data Engineer (Data Warehouse)

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

Singapore , Singapore

Salary:

Not provided

Plaud

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field
At least 3 years of experience in data warehouse development, including big data development, data warehouse modeling
Strong understanding of data warehouse architecture and principles
Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go)

Job Responsibility

Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance
Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions
Continuously optimize data processing performance to improve platform stability and efficiency
Research emerging technologies to drive the next-generation upgrade of the data platform

What we offer

Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere

Fulltime

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 Quality Analyst, Master Data, Procurement Services

As the Senior Data Quality Analyst for Master Data within PG&E’s Procurement Ser...

Location

United States , Oakland

Salary:

98000.00 - 134000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
Demonstrated experience writing and implementing data quality rules, validations, and thresholds
Experience with data profiling, analytics, and quality reporting tools

Job Responsibility

Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
Track and escalate data issues using structured issue tracking and remediation workflows
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability

What we offer

eligible to participate in PG&E’s discretionary incentive compensation programs

Fulltime

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