data engineering specialist

BT Group

<div><div><div><h2 class="jobSectionHeader"><b>Warning of planned maintenance
</b></h2><p>BT Group Careers will be unavailable from 22:00 (UK time) Friday 14 November, to 05:00 (UK time) Saturday 15 November.</p>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Engineering Specialist
</b></h1></div></div></div></div><div><div><div><div>Job Req ID: 52938
</div></div></div></div><div><div><div><div>Posting Date: 10 Nov 2025
</div></div></div></div><div><div><div><div>Function: Strategy and Business Intelligence
</div></div></div></div><div><div><div><div>Unit: Finance &amp; Business Services
</div></div></div></div><div><div><div><div>Location:
Building No 14 Sector 24 &amp; 25A, Gurugram, India
</div></div></div></div><div><div><div><div>Salary: Competitive
</div></div></div></div><div></div><div><div><div><div><p><b>Why this job matters:</b></p>
<p>
At BT, our ability to deliver brilliant, personalized experiences for all our 30m customers is fundamental to our future success. As a business we are investing extensively in the automation of our operations and networks, and in building our Base Management capabilities. Data driven automation and decision making has never been more important. Data Science &amp; AI will create a new data capability for Consumer to allow us to create the best personal experiences for all our customers across all channels and drive Commercial Revenue.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p><br>
<div></div>
<ul>
<li>Data Engineering Specialist lead within their Squad; including coaching and mentoring other engineers within the Alliance ensuring all adhere to Engineering standards and best practice; facilitating workshops and running training sessions where needed</li>
<li>Ensure both self and others take responsibility for achieving brilliant customer and business outcomes through high-quality execution, collaboration, and a focus on continuous improvement.</li>
<li>Design and build data products and data pipelines that are cost effective, performant and resilient.
</li><li>Build both batch and NRT data pipelines.</li>
<li>Ensure all data products delivered and maintained to a high quality, accurate, secure, and always adhere to data protection policies.</li>
<li>Support Data Product documentation, including clear and comprehensive user guides, and runbooks to aid control and knowledge transfer.</li>
<li>Operational maintenance of all data products</li></ul><br>
<div></div>
<div><b>
SKills &amp; Experience:</b></div><br>
<p></p>
<ul>
<li>Experience with CI/CD setups and infrastructure as code frameworks (ideally Terraform or OpenTofu)</li>
<li>Experience with open-source big data frameworks (ideally Spark, Apache beam, or Apache Flink)</li>
<li>Experience in Integration technologies like Kafka, API, Pub/Sub</li>
<li>Experience with NRT data pipelines is highly desirable</li>
<li>High proficiency with SQL, Python and one of Scala/Java</li>
<li>Strong experience of cloud environments (ideally GCP) in the following areas.</li>
<li>SQL and noSQL databases</li>
<li>Orchestration tools
</li><li>Big data and ETL services</li>
<li>Serverless compute services</li>
<li>Experience with K8 and cloud networking is desirable but not required</li>
<li>Strong data management and data architecture experience</li>
<li>Strong understanding of data security and compliance processes</li>
<li>Strong communication skills and ability to articulate complex technical concepts to both technical and non-technical stakeholders at all levels, written and verbal</li>
<li>Excellent stakeholder management skills, planning skills and the ability to prioritise demand in line with business and commercial requirements.</li>
<li>Strong experience leading / coaching and mentoring</li>
<li><b>Experience working in Agile</b></li></ul><div></div><div><div><div><h2 class="jobSectionHeader"><b><br>
Our leadership standards</b></h2>
</div><div><p><b>
Looking in:</b><br>
<b>Leading inclusively and Safely</b><br>
I inspire and build trust through self-awareness, honesty and integrity.<br>
<b>Owning outcomes</b><br>
I take the right decisions that benefit the broader organisation.</p>
<p><b>Looking out:</b><br>
<b>Delivering for the customer</b><br>
I execute brilliantly on clear priorities that add value to our customers and the wider business.<br>
<b>Commercially savvy</b><br>
I demonstrate strong commercial focus, bringing an external perspective to decision-making.</p>
<p><b>Looking to the future:</b><br>
<b>Growth mindset</b><br>
I experiment and identify opportunities for growth for both myself and the organisation.<br>
<b>Building for the future</b><br>
I build diverse future-ready teams where all individuals can be at their best.</p></div></div></div><p><b>
About us</b></p>
<p>BT Group was the world&rsquo;s first telco and our heritage in the sector is unrivalled. As home to several of the UK&rsquo;s most recognised and cherished brands &ndash; BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.<br>
<br>
Over the next two years, we will complete the UK&rsquo;s largest and most successful digital infrastructure project &ndash; connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.<br>
<br>
While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK&rsquo;s best telco, reimagining the customer experience and relationship with one of this country&rsquo;s biggest infrastructure companies.<br>
<br>
Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.</p>
<p><b>A FEW POINTS TO NOTE:</b></p>
<p>Although these roles are listed as full-time, if you&rsquo;re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.</p>
<p>We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.</p>
<p><b>DON'T MEET EVERY SINGLE REQUIREMENT?</b></p>
<p>Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.</p></div></div></div></div></div><p></p>

Data Engineering Specialist

McKesson

<div><h2 class="jobSectionHeader"><b>Data Engineer</b></h2>
<p>Columbus, Ohio</p>
<p>Job ID JR0138759</p>
<p>Category Data Engineering, Information Technology</p> <p>Post Date Nov. 10, 2025</p><div></div><div>
</div><div><p>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.</p><p>
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.</p><div><div><div><p>
CoverMyMeds&rsquo; Data &amp; Analytics is looking for a Specialist, Data Engineering to join our DataEngineering team. Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineeringteam does ultimately helps get more people the medicine they need to live healthier lives.</p></div><p></p><div><p>
What You'll Do</p></div><div><p>
The Specialist, Data Engineering will support and expand the data platforms that process, store, organize the data critical for the Data and Analytics team. This role will participate in the technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions and proactively inform business partners on Data &amp; Analytics platform and product health, and problem resolution. The Specialist, Data Engineering will work collaboratively with our Data Systems Analysts as well as our Analytics and Technology partners to solve business problems and deliver solutions.</p></div><p></p><div><p>
Position Description</p><ul><li><p>
Design and develop solutions and commissions of complex data across systems for McKesson/CoverMyMeds internal and external customers.</p></li><li><p>
Develop Data Ingestion and Integration pipelines from various sources to Data Warehouse</p></li><li><p>
Work with databases, files and unstructured data to identify, transport and quality test the data required to drive our data synchronization tasks to perform regular and incremental loads of data.</p></li><li><p>
Write program/code in SQL and / or cloud based tools such as Snowflake orDatabricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.</p></li><li><p>
Design conceptual data model based on business reporting requirements, interacting with business partners to understand the business logic and end-use of the data.</p></li><li><p>
Work with the application development teams to determine data flow in the source system and architect an appropriate flow into the data warehouse.</p></li></ul></div><p></p><div><p>
Minimum Qualifications</p></div><div><p>
Degree or equivalent and typically requires 4+ years of relevant experience</p></div><p></p><div><p>
Education</p><ul><li><p>
Bachelor's degree in. Computer Science, Information Systems, or related field.</p></li></ul></div><p></p><div><p>
CriticalSkills</p><ul><li><p>
4+ years of technical and professional experience as a data engineer</p></li><li><p>
Strong (4+ years'), hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and dashboarding tools such asDatabricks, Oracle, MySQL, Qlik, Tableau, SQL Server, etc.</p></li><li><p>
4 years' experience working with structured and unstructured data and within batch and real-time data streaming environments.</p></li><li><p>
Experience supporting Reporting and Analytics, Real time Analytics, Systems Integration, and Data Governance.</p></li><li><p>
Demonstrated expertise in database design and modeling.</p></li><li><p>
Expert knowledge of cloud data technologies(MS Azure)</p></li><li><p>
Experience with business-critical applications.</p></li><li><p>
Experience on large-scale implementation programs.</p></li></ul></div><p></p><div><p>
Preferred Skills</p><ul><li><p>
Excellent written and verbal communication skills; timely communication with clear expectations. An active listener and clear communicator; can lead by influence.</p></li><li><p>
Ability to find creative solutions to complex problems.</p></li><li><p>
Exhibit a strong sense of urgency and ownership for task/project completion.</p></li><li><p>
Highly adept at working collaboratively across multiple business and technical functions to achieve results.</p></li></ul></div></div></div><p></p><p>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,</p><p><b>
Our Base Pay Range for this position</b></p>
$105,500 - $175,900<p>
McKesson is an Equal Opportunity Employer</p><p></p><p>
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.</p><p></p><p>
Join us at McKesson!</p></div></div><div></div>

Data Engineer

Horizon Tech

<p>We are looking for a skilled <b>Data Engineer</b> to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.</p><p>This is an exciting opportunity to shape the data foundation of a growing business, leveraging a <b>modern AWS and engineering ecosystem.</b></p><p><b>Must Haves:</b></p><ul><li>3-5 years of experience in <b>data engineering</b> or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in <b>Python</b>, <b>SQL</b>, and data modelling for analytical and transactional systems.</li><li>Deep understanding of <b>modern AWS data and analytics services</b> (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with <b>Apache Spark / PySpark</b> for batch and stream processing.</li><li>Solid knowledge of <b>data governance, security, and compliance</b> frameworks.</li><li>Familiarity with <b>Infrastructure as Code</b> (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of <b>AI/ML data workflows</b>, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul><p><b>Preferred (Nice to Have)</b></p><ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul><p><b>Responsibilities:</b></p><ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul><p><b>Other Details</b></p><ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs250,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your expected salary?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

Bosch

<div><b>Company Description</b><p><b><br>
Bosch Global Software Technologies Private Limited</b> is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it&rsquo;s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.</p><b><br>
Job Description</b><p><br>
Responsibilities:</p><ul><li>
Design, develop, and maintain scalable and efficient data pipelines and infrastructure to support autonomous driving research and development.</li><li>
Extract, transform, and load (ETL) data from various sources, including sensors, simulations, and databases.</li><li>
Collaborate with data scientists, researchers, and engineers to understand data requirements and translate them into technical solutions.</li><li>
Develop and optimize data storage and retrieval strategies, ensuring data quality and integrity.</li><li>
Implement data governance and security measures to protect sensitive data.</li><li>
Monitor and troubleshoot data pipelines and systems to identify and resolve issues promptly.</li><li>
Continuously explore and evaluate new data technologies and tools to improve data processing efficiency and scalability.</li><li>
Mentor and guide junior data engineers in their professional development.</li></ul><p>
Mandatory Core Skills &amp; Competencies:</p><ul><li><b>
Strong proficiency in Python or another programming language commonly used in data engineering.</b></li><li><b>
Expertise in data engineering tools and frameworks, such as Apache Spark, Hadoop, Kafka, and Airflow.</b></li><li><b>
Deep understanding of data warehousing and data lake concepts.</b></li><li><b>
Experience with cloud platform (Azure) and cloud-based data services.</b></li><li><b>
Knowledge of SQL and NoSQL databases.</b></li><li><b>
Excellent problem-solving and analytical skills.</b></li><li><b>
Ability to work independently and as part of a cross-functional team.</b></li><li><b>
Strong communication and documentation skills.</b></li></ul><p>
Nice to Have Skills:</p><ul><li><b>
Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).</b></li><li><b>
Familiarity with autonomous driving technologies and concepts.</b></li><li><b>
Knowledge of data visualization tools (e.g., Tableau, Matplotlib).</b></li><li><b>
Experience with real-time data processing and streaming technologies.</b></li><li><b>
Understanding of data quality and validation techniques.</b></li><li><b>
Experience with containerization technologies (Docker, Kubernetes).</b></li><li><b>
Familiarity with CI/CD pipelines and DevOps practices.</b></li><li><b>
Experience with data governance and compliance frameworks (e.g., GDPR, CCPA).</b></li><li><b>
Ph.D. or Master's degree in Computer Science, Data Engineering, or a related field.</b></li><li><b>
Publications in relevant conferences or journals.</b></li></ul><br>
<b>
Qualifications</b><p><br>
BE M Tech CS</p><b><br>
Additional Information</b><p><br>
6+ years</p></div>

Data Engineering and Cloud

symplr

<div>Overview:
<div>
The objectives of a Data Engineer typically revolve around designing, implementing, and managing robust data architectures and infrastructures. The Data Engineer will play a key role in driving the organization's data strategy, ensuring the efficient flow and storage of data, and supporting data-driven decision-making processes.</div>
Duties &amp; Responsibilities:
<ul><li><b>Data Model Design:</b></li></ul><div><ul><li>
Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data.</li></ul></div><ul><li><b>
Data Integration:</b></li></ul><div><ul><li>
Implement robust ELT (Extract, Load, Transform) processes to integrate data from various sources into a unified and consistent format.</li><li>
Ensure seamless data flow between different systems, databases, and applications.</li></ul></div><ul><li><b>
Data Quality:</b></li></ul><div><ul><li>
Implement data validation and cleansing processes to ensure the accuracy and reliability of data.</li></ul></div><ul><li><b>
Emerging Technologies:</b></li></ul><div><ul><li>
Stay abreast of emerging technologies and trends in the field of data engineering.</li></ul></div><ul><li><b>
Database Management:</b></li></ul><div><ul><li>
Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).</li></ul></div><ul><li><b>
Performance Optimization:</b></li></ul><div><ul><li>
Identify and address performance bottlenecks in data processing and storage systems.</li><li>
Optimize queries, indexing strategies, and data partitioning for improved performance.</li></ul></div><ul><li><b>
Scalability and Reliability:</b></li></ul><div><ul><li>
Ensure that data systems are scalable to handle growing volumes of data.</li><li>
Implement redundancy and fault-tolerance measures to enhance data system reliability.</li></ul></div><br>
<div></div>
Skills Required:
<div><b>
Mandatory Skills Required:</b></div><br>
<div></div><ul><li>
Strong hands-on expertise with AWS services such as S3, Glue, Lambda, Athena, Redshift, Step Functions, Streaming tools like Apache Kafka \ Amazon Kinesis.
</li><li>Proficiency in Python, PySpark, experience with ELT and orchestration tools</li><li>
Strong hands-on expertise on Apache Hudi \ Apache Iceberg</li><li>
Strong hands-on expertise In SQL</li><li>
Experience using GitHub for version control and collaboration</li><li>
Develop, optimize, and maintain ELT processes for data integration.</li><li>
Strong communication skills to interface with technical and business stakeholders.</li></ul><div></div><div><b><br>
Secondary Skills Required:</b></div><div><b><br>
</b></div><ul><li>Knowledge of cloud infrastructure automation (e.g., Terraform, CloudFormation).</li><li>
Experience with DevOps CICD pipelines and source code management.</li><li>
AWS Certification, experience in platform automation and monitoring frameworks.</li></ul><div></div><div><b><br>
Qualifications Required:</b></div><br>
<div></div><ul><li>
Bachelor&rsquo;s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
</li><li>7+ years of experience in data engineering or a related role</li><li>
Proficient in data modeling, ELT development, and database management.</li><li>
Experience with big data technologies and distributed computing frameworks</li></ul></div><p></p>

Talabat

<br> <br>Job Details<br>Location: United Arab Emirates<br>Location: Dubai<br>Industry: Information Technology (IT)<br>Function: Software Engineering / Development<br>Gender: Any<br>Candidate Nationality: Any<br>Candidate Preferred Location: Any<br>Job Type: Full-time<br> <br>What You ll Do<br> <br>* Develop and maintain scalable data pipelines for batch and streaming use cases<br>* Work with Apache Kafka for real-time ingestion and event-driven architectures<br>* Use GCP and AWS tools such as BigQuery, Dataflow, S3, and Lambda for storage and processing<br>* Orchestrate workflows using Airflow or equivalent scheduling tools<br>* Ensure data quality and reliability with monitoring, alerting, and validation systems<br>* Collaborate with data scientists, analysts, and product teams to deliver data solutions<br>* Optimize systems for both cost efficiency and performance across cloud platforms<br>* Participate in code reviews, documentation, and technical knowledge sharing<br> <br>Candidate Requirements<br> <br>* 1 3 years of experience in data engineering, software engineering, or related field<br>* Proficiency in SQL and at least one programming language (Python preferred)<br>* Understanding of ETL/ELT processes and data modeling concepts<br>* Familiarity with cloud-based data warehouses and streaming tools such as Kafka<br>* Experience working with GCP, AWS, or Azure environments<br>* Strong communication skills for technical and non-technical collaboration<br>* Growth mindset with eagerness to learn and take on new challenges<br> <br>Nice to Have<br> <br>* Knowledge of infrastructure-as-code tools like Terraform or CloudFormation<br>* Experience with Docker or Kubernetes<br>* Familiarity with data governance, security, and compliance practices<br><br>

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p><b>The Role</b></p><p></p><p>
The Data Engineer is accountable for developing high quality data products to support the Bank&rsquo;s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.</p><p></p><p><b>
Responsibilities</b></p><p></p><ul><li>
Developing and supporting scalable, extensible, and highly available data solutions</li><li>
Deliver on critical business priorities while ensuring alignment with the wider architectural vision</li><li>
Identify and help address potential risks in the data supply chain</li><li>
Follow and contribute to technical standards</li><li>
Design and develop analytical data models</li></ul><p></p><p><b>
Required Qualifications &amp; Work Experience</b></p><p></p><ul><li>
First Class Degree in Engineering/Technology (4-year graduate course)</li><li>
5 to 8 years&rsquo; experience implementing data-intensive solutions using agile methodologies</li><li>
Experience of relational databases and using SQL for data querying, transformation and manipulation</li><li>
Experience of modelling data for analytical consumers</li></ul><ul><li>
Ability to automate and streamline the build, test and deployment of data pipelines</li><li>
Experience in cloud native technologies and patterns</li><li>
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training</li><li>
Excellent communication and problem-solving skills</li></ul><p></p><p><b>
T</b><b>echnical Skills (Must Have)
</b></p><p></p><ul><li><b>ETL: </b>Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica</li><li><b>
Big Data</b>: Experience of &lsquo;big data&rsquo; platforms such as Hadoop, Hive or Snowflake for data storage and processing</li><li><b>
Data Warehousing &amp; Database Management</b>: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design</li><li><b>
Data Modeling &amp; Design</b>: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures</li><li><b>
Languages</b>: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala</li><li><b>
DevOps</b>: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management</li></ul><p></p><p><b>
Technical Skills (Valuable)</b></p><p></p><ul><li><b>
Ab Initio</b>: Experience developing Co&gt;Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express&gt;IT, Data Profiler and Conduct&gt;IT, Control&gt;Center, Continuous&gt;Flows</li><li><b>
Cloud</b>: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs</li><li><b>
Data Quality &amp; Controls</b>: Exposure to data validation, cleansing, enrichment and data controls</li><li><b>
Containerization</b>: Fair understanding of containerization platforms like Docker, Kubernetes</li><li><b>
File Formats</b>: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta</li><li><b>
Others</b>: Basics of Job scheduler like Autosys. Basics of Entitlement management</li><li>
Certification on any of the above topics would be an advantage.</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Digital Software Engineering<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>Structured Query Language (SQL).<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
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