Adf Data Engineer Job at Randstad (Punewadi)

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
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

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

What we offer

Stable employment
“Office as an option” model
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
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Azure Data Engineer

As an Azure Data Engineer, you will design and maintain scalable data pipelines ...

Location

Salary:

Not provided

ACI Infotech

Expiration Date

Until further notice

Requirements

3–5 years of experience as a Data Engineer with Azure ecosystem
Strong skills in SQL, Databricks, and Python
Hands-on experience with Azure Data Factory (ADF)
Power BI experience preferred
Familiarity with Delta Lake and/or Azure Synapse is a plus

Job Responsibility

Develop, manage, and optimize ADF pipelines
Design and implement Databricks notebooks for ETL processes
Write and optimize SQL scripts for large-scale datasets
Collaborate with BI teams to support dashboard and reporting solutions
Ensure data quality, security, and compliance with governance policies

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience in data engineering, data warehousing, or data architecture
Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
Proven ability to translate business requirements into scalable, high-performance data solutions
Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
Strong proficiency in SQL and experience optimizing large-scale analytic workloads
Experience working within SDLC frameworks, CI/CD practices, and version control

Job Responsibility

Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

What we offer

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

Data Engineer

At Allianz Technology, we power the digital transformation of the Allianz Group....

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Proficient in Python for development, automation, and data processing
strong experience using DBT for data transformation and management in cloud environments
solid experience with Azure Data Factory (ADF) for orchestrating ETL workflows
familiarity with Jenkins for CI/CD workflows
expertise in SQL for querying databases and building data models
ability to design and implement effective data models, create databases, and optimize performance
knowledge of Agile Methodology and familiarity with data governance and security best practices with strong problem-solving, troubleshooting and collaboration skills, as well as the ability to thrive in a dynamic environment
experience with data warehousing and cloud-based platforms (Azure)
familiarity with APIs for integrating third-party systems into data workflows
experience in data modeling and data analytics platforms

Job Responsibility

Design and implement scalable ETL pipelines using DBT and Azure Data Factory (ADF) to process and transform data
integrate DBT with ADF runtime environments and leverage APIs for seamless execution
write high-quality, well-documented Python code for data transformation, extraction, and automation processes
utilize Visual Studio Code for efficient development and manage project versioning with GitHub
collaborate closely with the team to design and maintain SQL-based data models and data warehouse solutions
collaborate with cross-functional teams to understand data requirements and ensure data accessibility and usability
implement Jenkins for continuous integration and delivery (CI/CD) to automate data pipeline workflows
create and maintain automated workflows to enhance business intelligence, reporting, and data insights
troubleshoot, resolve, and optimize data pipeline issues to support large-scale data processing and ensure consistent data quality
proactively monitor data pipelines, ensuring data accuracy, consistency, and reliability

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered
flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

Fulltime

Cloud Big-data Engineer

An expert with 4-5 years of experience in Hadoop ecosystem and cloud- (AWS ecosy...

Location

United States , Starkville; Dover; Minneapolis

Salary:

45.00 USD / Hour ▼

PhasorSoft Group

Expiration Date

Until further notice

Requirements

4-5 years of experience in Hadoop ecosystem and cloud (AWS ecosystem/Azure)
Experience working with in-memory computing using R, Python, Spark, PySpark, Kafka, and Scala
Experience in parsing and shredding XML and JSON, shell scripting, and SQL
Experience working with Hadoop ecosystem - HDFS, Hive
Experience working with AWS ecosystem - S3, EMR, EC2, Lambda Cloud Formation, Cloud Watch, SNS/SQS
Experience with Azure – Azure Data Factory (ADF)
Experience working with SQL and No SQL databases
Experience designing and developing data sourcing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking, and matching
Work Authorization: H1, GC, US Citizen

Adf Data Engineer

Randstad

Location:
India , Punewadi

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 29, 2026

Expiration:
May 25, 2026

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Requirements:

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Job Posted:April 29, 2026

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April 29, 2026

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