cloud data engineer

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2>
</div><div><p>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.<br>
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.<br>
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.<br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About this Role</b></h2>
</div><div><p>
We are seeking a skilled Data Engineer with hands-on experience in Google Cloud Platform (GCP), BigQuery, Datafusion, and SQL/PLSQL to join our Data &amp; Analytics team supporting the Nucleus Portugal project. This permanent role is based in Pune, Bangalore, or Ahmedabad and involves designing, developing, and maintaining cloud-native data solutions. The ideal candidate will have 4&ndash;5 years of experience in data engineering and a strong understanding of data warehousing concepts and GCP components.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Develop and optimise SQL and PL/SQL queries within GCP BigQuery.</li><li>
Build and maintain infrastructure using GCP services such as Cloud Functions, App Engine, and Cloud Run.</li><li>
Collaborate with data engineers to process large datasets using GCP tools including BigQuery and Cloud Storage.</li><li>
Ensure performance, security, and scalability best practices across cloud applications.</li><li>
Write unit tests and maintain documentation to support code quality and maintainability.</li><li>
Troubleshoot and debug cloud-based applications in production environments.</li><li>
Apply cloud-native development principles and data processing frameworks.</li><li>
Contribute to agile development practices including SCRUM and SAFe methodologies.</li><li>
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
</div><div><ul><li>A graduate or postgraduate in a technical stream (preferably Engineering).</li><li>
Minimum 4&ndash;5 years of relevant experience in data engineering.</li><li>
Proficient in SQL, PL/SQL, GCP BigQuery, Datafusion, and Python.</li><li>
Familiar with data warehousing concepts and GCP components.</li><li>
Strong analytical, debugging, and problem-solving skills.</li><li>
Excellent communication skills in English (written and verbal).</li><li>
Able to work collaboratively in a team and respond proactively to risks and issues.</li><li>
Demonstrates behaviours aligned with the Vodafone Way: Speed, Simplicity, Trust, Innovation Hungry, Customer Obsessed, Ambitious &amp; Competitive, One Company Local Roots.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2>
</div><div><ul><li>Opportunity to work on a strategic global project (Nucleus Portugal).</li><li>
Exposure to cutting-edge cloud technologies and large-scale data processing.</li><li>
Collaborative work environment with cross-functional teams.</li><li>
Experience in agile methodologies and cloud-native development.</li><li>
Career growth within a global organisation committed to innovation and transformation.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What skills you will learn</b></h2>
</div><div><ul><li>Advanced GCP architecture and services including BigQuery, Datafusion, and Cloud Run.</li><li>
Agile development practices and methodologies.</li><li>
Scalable cloud application design and performance optimisation.</li><li>
End-to-end data engineering lifecycle in a global shared services environment.</li><li>
Cross-functional collaboration and stakeholder engagement.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
VOIS Equal Opportunity Employer Commitment</b></h2>
</div><div><p>
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.<br>
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.<br>
With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Alert</b></h2>
</div><div><p>
Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.<br>
#JDEnhancedByTARA</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Follow us on social media and #StayConnected</b></h2>
</div><div><ul><li>LinkedIn</li><li>
Facebook</li><li>
Instagram</li><li>
Chat with our employees: Click here</li></ul></div></div></div></div>

Cloud Data Engineer

<div><p>Opportunity Overview<br>
We are seeking a highly skilled Senior Cloud Data Solutions Engineer to drive the design, development, and scaling of data-driven platforms that support advanced analytics, machine learning, and high-value business decisioning. This role is instrumental in shaping next-generation data, trading decisioning, and risk management systems.<br>
You will work hands-on across the full data and ML pipeline&mdash;spanning data engineering, MLOps, and cloud-native development&mdash;while also influencing architectural direction and mentoring engineering teams. This is an excellent opportunity to work in a modern, collaborative, and innovation-focused technology environment.<br>
<br>
What You Will Do<br>
<br>
. Lead by Doing: Design, develop, and review scalable data pipelines, high-performance backend systems, and ML engineering workflows; own projects end-to-end with deep hands-on coding.<br>
. Set Technical Direction: Establish engineering best practices in data, ML, and cloud platforms; evaluate modern technologies and drive adoption in alignment with strategic goals.<br>
. Cross-Functional Collaboration: Partner with data scientists, business stakeholders, and technology teams to translate requirements into production-grade solutions.<br>
. Deliver at Scale: Ensure high-quality execution across data and ML products&mdash;manage risks, maintain compliance with enterprise standards, and uphold robust data governance and security practices.<br>
. Architect for the Future: Contribute to large-scale cloud architectures that support distributed processing, real-time analytics, and next-gen ML capabilities.<br>
<br>
<br>
What You Need to Succeed<br>
Must Have<br>
<br>
. 7+ years designing and building high-performance, data-intensive backend systems with strong knowledge of distributed systems.<br>
. 5+ years hands-on experience with big data and distributed processing tools (e.g., Apache Spark, Hadoop, AWS Glue, AWS EMR, Snowflake, Azure Databricks, Azure Data Factory).<br>
. Solid understanding of the machine learning lifecycle, including MLOps practices such as model deployment, monitoring, CI/CD, and automated pipelines.<br>
. Hands-on expertise with cloud platforms (AWS or Azure) and scalable architectural patterns.<br>
. Working knowledge of front-end frameworks (React, Angular) and backend frameworks (FastAPI, Flask, Node.js, or Spring Boot).<br>
. Strong communication skills with the ability to explain technical concepts to diverse audiences.<br>
. Bachelor's degree in Computer Science, Engineering, or related field (Master's/PhD preferred).<br>
<br>
Nice to Have<br>
<br>
. Experience with AWS SageMaker, ML model serving, or LLM deployment workflows.<br>
. Experience in full-stack development.<br>
<br>
</p><p><b>Your future duties and responsibilities</b></p><p></p><p><b>
Required qualifications to be successful in this role</b></p><p></p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
<br>
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

Capgemini Engineering

<div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p><div><div><div><div><b>
Your Role</b></div></div><div><ul><li>
Build and optimize data pipelines and design scalable architectures on Azure Cloud Platform.
</li><li>Collaborate with data scientists, analysts, and developers to deliver high-quality data solutions.
</li><li>Ensure data quality, governance, and security across pipelines and storage layers.
</li><li>Implement data transformation processes, metadata management, and workload optimization.</li><li>
Support advanced analytics and machine learning workflows on Azure</li></ul></div></div><div><div><div><b>
Your Profile</b></div></div><div><ul><li>
6&ndash;10 years of experience as an Azure Cloud Data Engineer.
</li></ul><div></div><ul><li>Strong expertise in Azure services: Data Lake, Functions, Databricks, Data Factory, ADLS, and Azure DevOps.
</li></ul><div></div><ul><li>Proficiency in Python, PySpark, and SQL (including query optimization).
</li></ul><div></div><ul><li>Experience with big data tools (Hadoop, Spark, Kafka) and relational/NoSQL databases.
</li></ul><div></div><ul><li>Excellent problem-solving, communication, and collaboration skills</li></ul></div></div><div><div><div><b>
What you will love about working here</b></div></div><div><ul><li>
We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.</li><li>
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.</li><li>
Equip yourself with valuable certifications in the latest technologies such as Generative AI.</li></ul></div></div></div><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>
<br><div><div><div><div>Ref. code</div><div>
333853-en_GB</div></div><div><div>
Posted on</div><div>
17 Nov 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Kolkata (ex Calcutta)</div></div><div><div>
Business unit</div><div>
INVENT</div></div><div><div>
Brand</div><div>
Capgemini Invent</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div><p></p>

Azure Data Engineer

Client of Clastech Solutions & Services Pvt. Ltd.

<p><b>Please provide responses to the screening questionnaire. </b></p><p><b>Job Code: ITMP1411-01</b></p><p><b>Designation: Software Engineer (Data Engineer) </b><br/><b>Location: Ghansoli, Mumbai</b></p><p><b>Nature: Work from office only </b><br/><b>Budget: 17 LPA CTC per year (Including 7% Variable) </b><br/><b>Experience: 3 to 5 Years</b></p><p><b>Job Description</b></p><p>We are seeking an experienced Data Engineer with 3+ years of hands-on expertise in building robust data pipelines, working with big data technologies, and managing cloud-based data infrastructures. The ideal candidate will play a key role in designing, developing, and optimizing data workflows to ensure reliable and scalable data operations across the organization.</p><p><b>Key Responsibilities</b></p><p>&middot; Build and maintain scalable ETL/ELT data pipelines to support analytics, reporting, and machine learning workloads.</p><p>&middot; Write clean, efficient, and maintainable Python or Scala code for data ingestion, transformation, and processing tasks.</p><p>&middot; Use SQL extensively to query, manipulate, and optimize large datasets.</p><p>&middot; Work with big data technologies such as Apache Spark, Airflow, Kafka, or similar tools for distributed processing and workflow orchestration.</p><p>&middot; Design, implement, and manage data infrastructure on cloud platforms including AWS, Google Cloud Platform (GCP), or Microsoft Azure.</p><p>&middot; Collaborate with data scientists, analysts, and cross-functional teams to ensure smooth data availability and quality.</p><p>&middot; Monitor pipeline performance, troubleshoot issues, and optimize workflows for efficiency and reliability.</p><p>&middot; Ensure best practices in data security, quality, and governance across all data engineering processes.</p><p><b>Required Qualifications</b></p><p>&middot; 3+ years of experience as a Data Engineer or in a similar data-focused engineering role.</p><p>&middot; Strong programming skills in Python or Scala.</p><p>&middot; Excellent proficiency in SQL with experience working on large-scale datasets.</p><p>&middot; Hands-on experience with Spark, Airflow, Kafka, or equivalent big data and orchestration tools.</p><p>&middot; Practical exposure to cloud services such as AWS, GCP, or Azure.</p><p>&middot; Solid understanding of ETL/ELT principles, data warehousing concepts, and distributed computing.</p><p>&middot; Strong problem-solving abilities and attention to detail.</p><p>&middot; Effective communication and collaboration skills to work in a team-oriented environment.</p><p>Job Type: Full-time</p><p>Pay: Up to &#8377;1,700,000.00 per year</p><p>Application Question(s):</p><ul><li>Please provide your CV in word format. You may upload it here or send it to Services@clastechsolutions.com </li></ul><p>Please provide responses to the screening questions. </p><p>How many years experience do you have in the following skills:<br/>- Programming skills in Python or Scala:<br/>- SQL with experience working on large-scale datasets: <br/>- Hands-on experience with Spark, Airflow, Kafka, or equivalent big data and orchestration tools: <br/>- Practical exposure to cloud services such as AWS, GCP, or Azure: <br/>- ETL/ELT principles, data warehousing concepts, and distributed computing:</p><p>Current Location:</p><p>Are you willing to work from Ghansoli office- purely WFO?:</p><p>Notice Period:</p><p>Total Experience in Years:</p><p>Nationality:</p><p>Mobile No.:</p><p>Email ID:</p><p>Upon offer issuance, how soon can you join?:</p><p>Do you have a Passport (mandatory)?:</p><p>Current CTC/monthly pay:</p><p>Expected CTC/monthly pay:</p><p>Work Location: In person</p>

Data Engineer

OPUS Technologies

<div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Who are we?</b></h2>
</div></div><div></div><div><div><p>Opus Technologies is a technology company with a focus on shaping the future of payment technology. With experience building highly innovative solutions and products, we combine our deep technology proficiency with unmatched domain expertise in payments and fintech, enabling us to deliver unparalleled quality and value in everything we do. For the last 27+ years, our team has worked with a diverse global customer base, ranging from start-ups to Fortune 500 financial leaders, all focused on digital transformation and driving innovation in payments. We&rsquo;re headquartered in Alpharetta, Georgia, USA. Our offshore software development center, including all corporate teams, works out of an office in Pune, India.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div></div><div></div><div><div><div><div><div><div><div><div><p>JOB</p><div><b>
Data Engineer/Spark Engineer</b></div></div></div>
</div></div><div></div><div><div><div><div><p>LOCATION</p><div><b>
Pune</b></div></div></div>
</div></div><div></div><div><div><div><div><p>POSITION</p><div><b>
Full Time</b></div></div></div>
</div></div><div></div><div><div><div><div><p>QUALIFICATION</p><div><b>
2+ years in data engineering with proven experience in building data platforms from scratch.
</b></div></div></div>
</div></div></div></div><div><div><div><div><p><b>Key Responsibilities</b></p><ul><li>
Data Architecture &amp; Design: Design and implement scalable data infrastructure including OLTP databases, data lakes, and cloud-based data warehouses.</li><li>
Spark-Based Data Engineering: Build and optimize data pipelines using Apache Spark (PySpark/Scala) for batch and real-time processing.</li><li>
Cloud Data Solutions: Leverage GCP services such as BigQuery, Dataflow, Dataproc, and Cloud Storage to build robust data solutions.</li><li>
ETL/ELT Development: Develop efficient ETL/ELT workflows to ingest, transform, and load data from diverse sources.</li><li>
Data Modeling &amp; Governance: Define data models, enforce data quality standards, and implement governance practices across the data lifecycle.</li></ul><p></p><p><b><br>
Required Skills &amp; Qualifications</b></p><ul><li>
Experience: 2+ years in data engineering with proven experience in building data platforms from scratch.</li><li>
Spark Expertise: Hands-on experience with Apache Spark (PySpark or Scala) in production environments.</li><li>
Cloud Proficiency: Strong experience with Google Cloud Platform data services (BigQuery, Dataflow, Dataproc, Cloud Storage).</li><li>
Big Data Ecosystem: Solid understanding of Hadoop, Hive, and distributed data processing.</li><li>
Databases: Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).</li><li>
Data Warehousing: Familiarity with data warehouse design principles (Kimball/Inmon) and tools like BigQuery, Snowflake, or Redshift.</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p>

Data Engineer/Spark Engineer

CLOUDSUFI

<div><div><b>About Us</b></div><div>
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software &amp; Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.</div><div>
</div><div><b>
Our Values</b></div><div>
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.</div><div></div><div><br>
</div><div><b>
Equal Opportunity Statement</b></div><div>
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at <b>https://www.cloudsufi.com/</b></div><div></div><div><b><br>
Job Description:</b></div><div>
We are seeking a talented and passionate Data Engineer to join our growing data team. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines and infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data warehousing, ETL/ELT processes, and a passion for turning raw data into actionable insights. You will work closely with data scientists, analysts, and other engineers to support a variety of data-driven initiatives.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Design, develop, and maintain scalable and reliable data pipelines using Dataform or DBT.</li><li>
Build and optimize data warehousing solutions on Google BigQuery.</li><li>
Develop and manage data workflows using Apache Airflow.</li><li>
Write complex and efficient SQL queries for data extraction, transformation, and analysis.</li><li>
Develop Python-based scripts and applications for data processing and automation.</li><li>
Collaborate with data scientists and analysts to understand their data requirements and provide solutions.</li><li>
Implement data quality checks and monitoring to ensure data accuracy and consistency.</li><li>
Optimize data pipelines for performance, scalability, and cost-effectiveness.</li><li>
Contribute to the design and implementation of data infrastructure best practices.</li><li>
Troubleshoot and resolve data-related issues.</li><li>
Stay up-to-date with the latest data engineering trends and technologies, particularly within the Google Cloud ecosystem.</li></ul><div></div><div><b><br>
Qualifications:</b></div><ul><li>
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li><li>
3-4 years of experience in a Data Engineer role.</li><li>
Strong expertise in SQL (preferably with BigQuery SQL).</li><li>
Proficiency in Python programming for data manipulation and automation.</li><li>
Hands-on experience with Google Cloud Platform (GCP) and its data services.</li><li>
Solid understanding of data warehousing concepts and ETL/ELT methodologies.</li><li>
Experience with Dataform or DBT for data transformation and modeling.</li><li>
Experience with workflow management tools such as Apache Airflow.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and collaboration skills.</li><li>
Ability to work independently and as part of a team.</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
Google Cloud Professional Data Engineer certification.</li><li>
Knowledge of data modeling techniques (e.g., dimensional modeling, star schema).</li><li>
Familiarity with Agile development methodologies.</li></ul><div></div><div><b><br>
Behavioural competencies required:</b></div><ul><li>
Must have worked with US/Europe based clients in onsite/offshore delivery model</li><li>
Should have very good verbal and written communication, technical articulation, listening and presentation skills</li><li>
Should have proven analytical and problem solving skills</li><li>
Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills</li><li>
Should be a quick learner and team player</li><li>
Should have experience of working under stringent deadlines in a Matrix organization structure</li><li>
Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations</li></ul></div><div></div>

SE- Data Engineering

Nets-international Communication

<p><b>Job Summary</b><br/>We are seeking a highly skilled Big Data Engineer (Cloudera) to lead the design, development, and implementation of scalable data solutions. The ideal candidate will possess extensive experience in big data technologies, cloud platforms, and data modeling to support advanced analytics and data-driven decision-making. This role offers an exciting opportunity to work with cutting-edge tools and methodologies in a dynamic environment focused on innovation and excellence.</p><p><b>Duties</b></p><ul><li>Design, build and maintain robust large&#8208;scale data pipelines using the Cloudera Data Platform (CDP) / Hadoop ecosystem, supporting streaming and batch ingestion of structured and unstructured data.</li><li>Work with big-data frameworks such as Apache Spark, Hive, HDFS, and manage data processing jobs at scale.</li><li>Integrate data from diverse sources (Oracle, Microsoft SQL Server, external APIs, Linked Data) into centralized data lakes or warehouses.</li><li>Collaborate with the cloud team to implement data storage and compute solutions on platforms like AWS, Azure and Cloudera hybrid environments.</li><li>Develop and optimize ETL/ELT processes (using Python, SQL, Shell scripting, Bash) to support analytics, reporting and data science workloads.</li><li>Build data models and schemas appropriate for big data warehouses and analytics&mdash;ensuring performance, scalability, and maintainability.</li><li>Partner with analytics, BI and data science teams to define data requirements, ensure data quality, and make data available in usable form (for dashboards, machine learning, etc.).</li><li>Ensure data governance, security, lineage, and compliance standards are embedded in the data infrastructure.</li><li>Create and maintain documentation of architecture, data flows, processes and best practices.</li><li>Operate within Agile development processes, perform code reviews, and support production operations / incident resolution.</li></ul><p><b>Qualifications</b></p><ul><li>3-5 years of experience in a Data Engineer or Big Data Engineer role, working with big data technologies and platforms.</li><li>Hands-on experience with Cloudera Data Platform or Hadoop ecosystem: HDFS, Hive, Spark, Impala, etc.</li><li>Proficient in Python and/or Java/Scala for data processing, along with strong SQL skills (Oracle, MS SQL Server or similar).</li><li>Experience developing ETL/ELT workflows using Python, Shell/Bash scripting and SQL.</li><li>Familiarity with cloud data platforms (AWS S3/Glue/EMR, Azure Data Lake or equivalents) and managing data infrastructure in the cloud.</li><li>Understanding of data modelling for large-scale data warehouses, data lakes and analytics platforms.</li><li>Knowledge of RESTful API integration and processing data from APIs or real-time streams is a plus.</li><li>Experience collaborating with data science/analytics teams to support modelling, BI and advanced analytics efforts.</li><li>Excellent problem-solving skills, strong communication skills, and ability to work in a dynamic, multi-functional team environment.</li><li>Exposure to Agile methodologies and CI/CD pipelines for data engineering tasks is a plus.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Big Data Engineer: 3 years (Required)</li></ul>

Big Data Engineer

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