data lead

Rebert Technologies Pvt.Ltd

<p>Position: <b>Data Lead EdTech Department Rebert Technologies Pvt. Ltd.</b></p><p><b>Location:</b> Part Time (Pune preferred)</p><p><b>Type:</b> Part -Time | <b>Role:</b> Founding Team</p><p><b>About Rebert Technologies</b></p><p>Rebert Technologies is a <b>software solutions company</b> driven by innovation and technology. We specialize in developing intelligent digital solutions that simplify business operations and enhance performance.</p><p>We are now <b>launching our EdTech division</b>, focused on building a data-driven education ecosystem that bridges the gap between learning and employability. Our goal is to empower students and institutions through technology, analytics, and measurable outcomes.</p><p><b>About the Role</b></p><p>We are looking for a <b>Data Lead</b> to spearhead our analytics and data systems within the EdTech division. You will be responsible for building data pipelines, creating dashboards, analyzing trends, and turning numbers into actionable insights. This role involves close collaboration with our product, marketing, and academic teams to make data-driven decisions that directly influence student outcomes and company growth.</p><p>As one of the early team members, you will play a key role in shaping the foundation of our data culture and have the opportunity to lead a team as we scale.</p><p><b>Key Responsibilities</b></p><ul><li>Design and manage end-to-end data pipelines, dashboards, and reports.</li><li>Analyze learner, marketing, and performance data to extract key insights.</li><li>Support product and business teams with data-backed recommendations.</li><li>Maintain data accuracy, integrity, and accessibility across systems.</li><li>Develop scalable analytics systems and mentor future data team members.</li></ul><p><b>Required Skills</b></p><ul><li>Strong in <b>Excel / Google Sheets</b>, <b>SQL</b>, and <b>Power BI / Tableau / Google Data Studio</b>.</li><li>Knowledge of <b>data visualization, automation, and analytics</b>.</li><li>Familiarity with <b>Python / R</b> is a plus.</li><li>Excellent analytical, communication, and problem-solving skills.</li><li>Prior exposure to <b>EdTech</b> or analytics in the education sector preferred.</li></ul><p><b>Expectations:</b></p><ul><li>Self-motivated, analytical, and outcome-oriented.</li><li>Thrive in a startup environment with ownership and autonomy.</li><li>Passionate about data, learning, and innovation.</li></ul><p><b>Compensation</b></p><ul><li><b>&#8377;10,000 per month</b> (based on experience &amp; performance).</li></ul><p>Job Type: Part-time</p><p>Pay: &#8377;8,000.00 - &#8377;10,000.00 per month</p><p>Expected hours: 16 per week</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Work from home</li></ul><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Work Location: Remote</p>

Data Lead

Hypr4 Cloud Tech

<p>Data Infrastructure &amp; Pipeline Development: &#9679; Design, develop, and optimize scalable, efficient, and reliable data pipelines for large-scale data processing and transformation. &#9679; Manage and maintain data architecture, ensuring high availability and performance using tools like Snowflake, Dataproc, BigQuery and other cloud technologies. &#9679; Lead the integration of data sources from multiple systems, ensuring seamless data flow across various platforms.</p><p>&#9679; Build and optimize data pipelines using BigQuery, Snowflake, DBT Cloud, and Airflow.</p><p>&#9679; Expertise in Data Modelling to desing and build Data warehouses, Data Marts and Data lakes</p><p>&#9679; Manage version control and workflows with GitHub. Performance &amp; Optimization:</p><p>&#9679; Perform tuning and optimization of queries and data pipelines to ensure high-performance data systems.</p><p>&#9679; Conduct regular performance reviews and recommend improvements or optimizations for system reliability, speed, and cost-efficiency. DBT (Data Build Tool) Implementation:</p><p>&#9679; Implement and maintain DBT models for data transformation workflows.</p><p>&#9679; Collaborate with data analysts and data scientists to ensure high-quality, well-documented datasets for downstream analysis.</p><p>&#9679; Ensure the use of best practices for DBT testing, version control, and deployment. Snowflake Management:</p><p>&#9679; Architect and optimize Snowflake data warehouse environments.</p><p>&#9679; Oversee and manage Snowflake data ingestion, transformation, and storage strategies.</p><p>&#9679; Collaborate with cross-functional teams to ensure Snowflake is being utilized effectively and efficiently. Leadership &amp; Mentorship:</p><p>&#9679; Lead and mentor a team of data engineers, ensuring that best practices are followed in development and deployment of data pipelines.</p><p>&#9679; Conduct code reviews, provide feedback, and ensure the implementation of high-quality data solutions.</p><p>Preferred Skills:</p><p>&#9679; 10+ years of experience in Data Engineering with a strong focus on data warehousing, ETL pipelines, and big data technologies.</p><p>&#9679; At least 3-5 years of hands-on experience with Snowflake data warehouse or BigQuery, including setup, configuration, optimization, and maintenance.</p><p>&#9679; Proficiency in SQL for query optimization and performance tuning.</p><p>&#9679; In-depth experience with Dataproc for running large-scale data processing workflows (e.g., Spark, Hadoop).</p><p>&#9679; Expertise with DBT or any other ELT tool for data transformation and model building. Technical Skills:</p><p>&#9679; Strong experience in cloud platforms like AWS, GCP, or Azure, with a focus on data engineering tools and services.</p><p>&#9679; Proficient in programming/scripting languages such as Python, Java, or Scala for data processing.</p><p>&#9679; Experience with CI/CD pipelines and version control (Git, Jenkins, etc.).</p><p>&#9679; Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and related data processing concepts. Data Architecture &amp; Design:</p><p>&#9679; Experience with building and maintaining data warehouses and lakes.</p><p>&#9679; Strong understanding of data modeling concepts, data quality, and governance.</p><p>&#9679; Familiarity with Kafka, Airflow, or similar tools for orchestrating data workflows.</p><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: &#8377;2,540,454.62 - &#8377;2,764,456.72 per year</p><p>Work Location: In person</p>

Data lead

ixceed

<p><b>Role: Data Lead (Scala+Spark)</b></p><p><b>Location: Chennai</b></p><p><b>Mode: Hybrid</b></p><p><b>Type: Permanent</b></p><p><b>Job Description:</b></p><p>Responsibilities:</p><ul><li>Design, develop, and maintain robust and scalable data pipelines using Apache Spark and Scala on the Databricks platform.</li><li>Implement ETL (Extract, Transform, Load) processes for various data sources, ensuring data quality, integrity, and efficiency.</li><li>Optimize Spark applications for performance and cost-efficiency within the Databricks environment.</li><li>Work with Delta Lake for building reliable data lakes and data warehouses, ensuring ACID transactions and data versioning.</li><li>Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.</li><li>Implement data governance and security best practices within Databricks.</li><li>Troubleshoot and resolve data-related issues, ensuring data availability and reliability.</li><li>Stay updated with the latest advancements in Spark, Scala, Databricks, and related big data technologies.</li></ul><p>Required Skills and Experience:</p><ul><li>Proven experience as a Data Engineer with a strong focus on big data technologies.</li><li>Expertise in the Scala programming language for data processing and Spark application development.</li><li>In-depth knowledge and hands-on experience with Apache Spark, including Spark SQL, Spark Streaming, and Spark Core.</li><li>Proficiency in using Databricks platform features, including notebooks, jobs, workflows, and Unity Catalog.</li><li>Experience with Delta Lake and its capabilities for building data lakes.</li><li>Strong understanding of data warehousing concepts, data modeling, and relational databases.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.</li><li>Experience with version control systems like Git.</li><li>Excellent problem-solving and analytical skills.</li><li>Ability to work independently and as part of a team.</li></ul><p>Preferred Qualifications (Optional):</p><ul><li>Experience with other big data technologies like Kafka, Flink, or Hadoop ecosystem components.</li><li>Knowledge of data visualization tools.</li><li>Understanding of DevOps principles and CI/CD pipelines for data engineering.</li><li>Relevant certifications in Spark or Databrick</li></ul><p>Job Type: Permanent</p><p>Pay: &#8377;3,500,000.00 - &#8377;4,500,000.00 per year</p><p>Application Question(s):</p><ul><li>Immediate Joiner</li></ul><p>Experience:</p><ul><li>Design and build ETL: 3 years (Required)</li><li>Scala: 4 years (Required)</li><li>Spark: 4 years (Required)</li><li>Databricks: 3 years (Required)</li><li>Team Lead: 2 years (Required)</li><li>Big data architecture: 2 years (Required)</li><li>Data Engineering: 3 years (Required)</li></ul><p>Work Location: In person</p>

Data Lead (Scala+Spark)

Reckitt

<div></div><div><div><div><div>Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.</div></div><div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
</div><div><p>
The role of &ldquo;<b>Business Data Lead</b>&rdquo; is part of the site deployment team and reports to the &ldquo;<b>Market lead</b>&rdquo;.</p>
<p>
Pre deployment kick-off, the role focuses on getting the source data ready for the deployment (JDE, TDS, Optiva, MDG-s, MDG-h, etc &hellip;), may come with hands-on duties but is primarily about mobilizing business resources and coordinating the delivery of the pre-requisite activities until the deployment starts.</p>
<p>
After deployment kick-off, the role focuses on coordinating the data activities of the &ldquo;<b>Superusers</b>&rdquo; (SUs), enabling them to perform their data tasks and ensuring they do it following <b>best practices</b>; this is done under the steer of the central Data Migration (DM) Wave Delivery Lead, these activities are mainly but not limited to:</p>
<ul>
<li>Data localisation</li>
<li>Data collection</li>
<li>Data enrichment</li>
<li>Data construction</li>
<li>Data validation</li>
</ul>
<p>This role is middle manager level, it requires lots of coordination agilities since it sits in the middle of the site business team and is the main point of contact for the central data team. The individual must be capable of managing conflicting priorities in a challenging environment at a very fast pace.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Your responsibilities</b></h2>
</div><div><ul><li>Work closely with the market lead on the planned activities to deliver on time, quality &amp; budget</li>
<li>Is accountable to ensure that the site business team is following the plan agreed with the central team</li>
<li>Is an advocate of the central team DM methodology</li>
<li>Will identify all the data sources and how its data will be sourced from</li>
<li>If the data doesn&rsquo;t exist in any source system or tool, is accountable to find where, how and who is going to source / manage this data</li>
<li>Accountable for data preparation progress to meet the Trial &amp; Production loads entry criteria&rsquo;s (the responsibility is shared between the <b>SUs</b> and the <b>Data Migration Specialists</b> (DMSs)</li>
<li>Can potentially be responsible for some data preparation tasks, meaning the individual must also be operational <i>(Cf. &ldquo;PROFESSIONAL QUALIFICATIONS/ EXPERIENCE&rdquo; section)</i>:
<ul><li>Provide input during design sessions mainly in the BCA phase (Business Change Assessment)</li>
<li>Contribute to the definition of data preparation rules</li>
<li>Prepare and/or construct data</li>
<li>Validate / Reconcile data</li>
</ul></li><li>Accountable for the data validation and reconciliation process end-to end which includes:
<ul><li>The identification of the business staff who will check and sign off the data</li>
<li>The identification of the exhaustive list of control check that will stress the data</li>
<li>The responsibility sits with the SUs</li>
</ul></li><li>Accountable for the management of Risks, Issues, Decisions and actions as well as the data defects together with central DM Wave delivery Lead (the responsibility sits with the SUs &amp; the DMSs)</li>
<li>Provide updates, monitor progress and report issues and risks to the central data team</li>
<li>Participates to the weekly operational meetings with the wider data team <i>(called L5 meetings)</i>, ensure active participation from the local business team(s)</li>
<li>Manages the preparation of the L4 slides with the DM Wave Delivery Lead and present it to the wider group each week</li>
<li>Participates to the weekly Data Collaboration Calls (DCCs) with SAP CC, BPOs, GDOs, central data team and site team and ensures that the site business team is coming prepared to make the best use of this forum which is meant to remove data preparation roadblocks (the management of these meetings sits with the DMSs)</li>
<li>Supports the central team with operational and management reporting</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>The experience we're looking for</b></h2>
</div><div><ul><li>Good understanding of business processes in a CPG environment</li>
<li>Ability to quickly understand IT systems and processes landscape</li>
<li>Ability to quickly understand how data &ldquo;influences&rdquo; the business processes in the current system (JDE)</li>
<li>Ability to quickly create a strong network within the local business and remote Reckitt sites</li>
<li>Excellent IT acumen / Extremely comfortable with IT systems overall</li>
<li>Strong IT project management experience</li>
<li>SAP project implementation in a global environment</li>
<li>SAP navigation</li>
<li>ERP Data migration experience</li>
<li>Advanced MS Excel skills</li>
<li>JDE knowledge</li>
<li>ERP Data Stewardship</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
The skills for success</b></h2>
</div><div><ul><li>Excellent communication and presentation skills</li>
<li>Experience of managing stakeholders at all levels across the organisation and very agile with them</li>
<li>Experience of managing teams of operational subject matter experts</li>
<li>Ability to influence individuals outside own reporting lines</li>
<li>Determined and resilient to identify resolutions to issues within own span of control</li>
<li>Calm under pressure, action orientated, very organised, and disciplined</li>
<li>Curious and eager to learn</li>
<li>Fast learner and autonomous</li>
<li>Able to easily interface and collaborate with a diverse group of individuals</li>
<li>Having a can-do proactive mindset is an absolute must</li>
<li>Excellent team player</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>What we offer</b></h2>
</div><div>With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.</div></div><div><div><h2 class="jobSectionHeader"><b>
Equality</b></h2>
</div><div>We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.</div></div></div></div>

Data Lead (Cleansing & Process)

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Management Lead for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
A Data Management Lead role is a cornerstone to the success of the data management team; he is the person with the most seniority in the team and he works closely with all team members. He helps the team to understand and execute their job effectively. He builds the team, mentors and guides them to the successful delivery of the assigned tasks.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Interviewing, onboarding and other hiring activities & Training technical personnel</li>
<li>Ensure that your team understands their responsibilities</li>
<li>Help team members to develop their soft skills, like leadership or conflict management</li>
<li>Delegating work and assignments to team members as per their skills and personal preferences</li>
<li>Set targets and expectations & Create end goals for their team</li>
<li>Ensure everyone remains productive and gets projects done on time</li>
<li>Developing work schedules for the team</li>
<li>Identifying risks and forming contingency plans as soon as possible</li>
<li>Analyzing existing operations and scheduling training sessions and meetings to discuss improvements</li>
<li>Motivating staff and creating a space where they can ask questions and voice their concerns</li>
<li>Being transparent with the team about challenges, failures, and successes</li>
<li>Writing progress reports and delivering presentations to the relevant stakeholders</li>
<li>Creates a technical vision to turn it into reality with the help of the team</li>
<li>Keep on asking for reviews and feedback from peers</li>
<li>Reporting on all the weekly tasks in form of accurate and detailed reports</li>
<li>To ensure that Team is working as per the listed procedures</li>
<li>Partners with managers to help with decisions around prioritization, execution, work division, sprint planning, goal setting, tech-debt management</li>
<li>Breaking down a complex idea into smaller, tangible tasks</li>
<li>Analyzing users' needs and then finding applications to serve them</li>
<li>Guide team members through technical issues and challenges</li>
<li>explain new projects to their team and troubleshoot any problems that occur</li>
<li>Collaborate with the team to identify and fix technical problems, provide Architectural and Design direction</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor’s degree in computer science, Information Systems or equivalent</li>
<li>9-11 years of work experience</li>
<li>Strong leadership skills to motivate and guide your team members</li>
<li>Have Decision-making and organizational abilities to help you effectively manage workload</li>
<li>Able to give clear instructions and set expectations</li>
<li>Strong technical skills</li>
<li>Excellent analytical, organizational, and problem-solving and skills</li>
<li>Has mature written and verbal communication skills, as well as presentation skills.</li>
<li>Able to handle multiple concurrent projects, with an ability to prioritize and manage projects effectively.</li>
<li>Experience in coordinating with data stewards and analysts to understand business requirements, functional requirements, and conversion of business rules into technical specifications</li>
<li>Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines</li>
<li>Experience SQL, UNIX/Linux, various programming languages like Java and Python, orchestration tools and processes or other directly related experience.</li>
<li>Good experience in end-to-end implementation of DW & BI projects, especially in data warehouse and mart developments</li>
<li>Experience in Relational Modeling, Dimensional Modeling, Modeling of Unstructured Data and business process relationships</li>
<li>Experience with Big data technologies</li>
<li>Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts</li>
<li>Experience working in Agile framework and project management methodologies</li>
<li>Full lifecycle project experience as a developer in designing and developing ETL jobs.</li>
<li>Ability to mentor others, including peers and application developers, clearly explain complex technical issues to business analysts and end users</li>
</ul>


Data Management Lead

GSSTech Group

<div><p>We are looking for a <b>Finacle Data Migration Lead</b> to drive and oversee the end-to-end migration of banking data from legacy systems to Finacle. The ideal candidate will possess strong technical expertise in data migration strategies, ETL processes, and deep knowledge of Finacle architecture and core banking modules.</p><p></p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
 Key Responsibilities</b></h3><ul>
<li>Lead the <b>end-to-end data migration process</b> for Finacle implementation, including planning, design, extraction, transformation, loading (ETL), validation, and reconciliation.
</li><li>Define and implement <b>data migration strategy, framework, and best practices</b> aligned with project timelines and business requirements.
</li><li>Coordinate with <b>business, technology, and vendor teams</b> to ensure smooth migration of customer, account, transaction, and reference data.
</li><li>Oversee <b>data mapping and validation</b> between legacy and Finacle systems.
</li><li>Manage data quality checks, exception handling, and issue resolution during test and production migrations.
</li><li>Conduct <b>mock runs, data reconciliation, and UAT support</b>, ensuring successful data sign-off before go-live.
</li><li>Work closely with the <b>Finacle functional and technical teams</b> to align on data structures and migration scripts.
</li><li>Prepare <b>migration status reports</b>, highlight risks, and implement corrective actions.
</li><li>Provide <b>post-migration support</b> and ensure system stability.
 </li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills &amp; Experience</b></h3><ul>
<li><b>8+ years of experience</b> in core banking implementations, with at least <b>4 years in Finacle data migration projects</b>.
</li><li>Strong hands-on experience with <b>data extraction, transformation, and loading (ETL)</b> using tools like SQL, PL/SQL, Python, or Informatica.
</li><li>In-depth understanding of <b>Finacle database schema</b> and core modules (CIF, CASA, Loans, Deposits, GL, etc.).
</li><li>Proven experience in <b>data mapping, cleansing, and reconciliation</b> processes.
</li><li>Strong analytical and troubleshooting skills with attention to data accuracy and consistency.
</li><li>Experience working in <b>Agile/Waterfall project environments</b> and managing vendor relationships.
</li><li>Excellent communication and stakeholder management skills.</li></ul></div>

Data Migration Lead (Finacle)

Atos

<div></div><div><div><div><h3 class="jobSectionHeader"><b>Job Applicant Privacy Notice</b></h3>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Tech Lead
</b></h1></div></div></div></div><div><div><div><div>Publication Date: Oct 5, 2025
</div></div></div></div><div><div><div><div>Ref. No: 537676
</div></div></div></div><div><div><div><div>Location:
Cairo, EG
</div></div></div></div><div></div><div><div><div><div><p><b>About Atos</b></p><br>
<p></p>
<p>
Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.</p><br>
<p></p>
<p>
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.</p><div>
<div>
<p>As a Tech Lead for the Data Analytics team, you will be responsible for driving the design, development, and optimization of data infrastructure and analytics solutions. You will lead a team of data engineers and analysts, ensuring high-quality delivery of scalable data products that enable actionable insights and support business growth. You will play a critical role in shaping the data strategy, mentoring team members, and collaborating with stakeholders across the organization.</p>
</div>
<div><p><b>Key Responsibilities</b></p>
</div>
<div><ul><li><p>Lead the design, assembly, and maintenance of large, complex data sets that meet functional and non-functional business requirements.</p>
</li>
</ul></div><div><ul><li><p>Architect and implement internal process improvements, including optimizing data delivery, redesigning infrastructure for scalability, and automating manual processes.</p>
</li>
</ul></div><div><ul><li><p>Oversee the development of robust ETL/ELT pipelines and data integrations from diverse sources using AWS, SQL, and modern data engineering tools.</p>
</li>
</ul></div><div><ul><li><p>Guide the creation of analytical tools and data models that deliver actionable insights into key business performance metrics such as operational efficiency, product usage, and customer acquisition.</p>
</li>
</ul></div><div><ul><li><p>Partner with stakeholders across Executive, Product, Data, and Design teams to define data infrastructure needs, solve technical challenges, and ensure data reliability.</p>
</li>
</ul></div><div><ul><li><p>Provide technical leadership and mentorship to data engineers and analysts, ensuring adherence to best practices in coding, design patterns, and documentation.</p>
</li>
</ul></div><div><ul><li><p>Establish and enforce data governance, quality, and security standards to maintain trust in data products.</p>
</li>
</ul></div><div><ul><li><p>Drive the design, development, and maintenance of dashboards, reports, and visualizations, ensuring data storytelling that enables informed decision-making.</p>
</li>
</ul></div><div><ul><li><p>Conduct and oversee data validation, root cause analysis, and quality assurance to guarantee accuracy and consistency across reports and pipelines.</p>
</li>
</ul></div><div><ul><li><p>Evaluate and introduce emerging technologies, tools, and frameworks to continuously improve the team&rsquo;s capabilities and the organization&rsquo;s data maturity.</p></li></ul><br>
</div>
<p></p><div><p><b>Skills and Qualifications</b></p>
</div>
<div><ul><li><p>Over 6 Years of proven experience as a Data Engineer / Data Analytics Lead / Tech Lead or in a senior data engineering/analytics role.</p>
</li>
</ul></div><div><ul><li><p>Strong background in building and optimizing data pipelines, architectures, and data sets for analytics and business applications.</p>
</li>
</ul></div><div><ul><li><p>Expertise in SQL database design and hands-on experience with cloud data platforms (AWS, Snowflake, etc.).</p>
</li>
</ul></div><div><ul><li><p>Proficiency in Python (or similar languages) for data processing, automation, and analytics.</p>
</li>
</ul></div><div><ul><li><p>Solid understanding of data models, metadata, and workload management.</p>
</li>
</ul></div><div><ul><li><p>Experience in business intelligence (BI) and visualization tools (Power BI, Tableau, etc.), including dashboard/report design and data quality testing.</p>
</li>
</ul></div></div><div><div><ul><li><p>Strong analytical mindset with the ability to work on unstructured datasets and perform root cause analysis on complex processes.</p>
</li>
</ul></div><div><ul><li><p>Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Talend Studio, dbt, Microsoft Fabric).</p>
</li>
</ul></div><div><ul><li><p>Excellent communication and leadership skills, with the ability to translate technical concepts into business impact.</p>
</li>
</ul></div><div><ul><li><p>Experience in mentoring and guiding teams, setting coding standards, and performing code reviews.</p>
</li>
</ul></div><div><ul><li><p>Strong problem-solving abilities with a focus on scalability, automation, and data governance.</p></li></ul><br>
</div>
<p></p><div><p>Preferred Tools &amp; Technologies</p>
</div>
<div><ul><li><p>Data Platforms: Snowflake, AWS (Redshift, S3, Glue, etc.)</p>
</li>
</ul></div><div><ul><li><p>Orchestration: Airflow, Talend Studio, dbt</p>
</li>
</ul></div><div><ul><li><p>BI &amp; Visualization: Microsoft Power BI, Tableau</p>
</li>
</ul></div><div><ul><li><p>Data Integration &amp; Transformation: Microsoft Fabric, ETL/ELT frameworks</p>
</li>
</ul></div><div><ul><li><p>Programming &amp; Scripting: Python, SQL</p></li></ul></div><p></p><div><br>
</div>
</div><p></p><p>Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.</p><br>
<p></p>
<p>
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.</p><p><br>
<b>
Choose your future. Choose Atos.</b></p></div></div></div></div></div><p></p>

Data Tech Lead

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