senior data engineer

1cloudhub

<div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Position</b></h2>
<div><div><p>Senior Data Engineer</p>
</div></div></div></div></div><div></div><div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
<div><div><p>4+ years</p>
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<div><div><p>Chennai, Tamil Nadu<br>
(Onsite)</p>
</div></div></div></div></div></div></div><div><div><div><div><div><div><div><h4 class="jobSectionHeader"><b>Role Overview</b></h4>
<p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with strong expertise in <b>cloud-based data solutions (primarily AWS)</b>. The ideal candidate will design and build scalable data pipelines, manage large datasets, and ensure reliable data availability for analytics and business intelligence. You will work closely with data scientists, analysts, and other engineering teams to enable advanced analytics and AI/ML initiatives.</p>
</div></div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<div><div><ul><li>Design, develop, and optimize <b>scalable ETL/ELT pipelines</b>for structured and unstructured data.</li>
<li>Architect and manage <b>data lakes, data warehouses, and streaming platforms</b>on AWS.</li>
<li>Implement data ingestion from multiple sources (APIs, DBs, IoT, flat files, streaming).</li>
<li>Ensure <b>data quality, governance, and security</b>across all pipelines.</li>
<li>Collaborate with data scientists and analysts to deliver reliable datasets for analytics and ML models.</li>
<li>Optimize data storage, retrieval, and processing for performance and cost efficiency.</li>
<li>Mentor junior engineers and contribute to best practices in data engineering.</li>
<li>Support CI/CD automation and monitoring for data workflows.</li>
</ul></div></div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li>
<li><b>4+ years of experience</b>in data engineering or related roles.</li>
<li>Strong hands-on experience with <b>AWS services</b>:</li>
<li><b>S3, Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, RDS</b></li>
<li>Expertise in <b>SQL</b>and working with relational and NoSQL databases.</li>
<li>Proficiency in <b>Python, Java, or Scala</b>for data pipeline development.</li>
<li>Strong knowledge of <b>ETL/ELT frameworks, data modeling, and data warehousing concepts</b>.</li>
<li>Experience with <b>CI/CD pipelines, Git, and containerization (Docker, Kubernetes/EKS)</b>.</li>
<li>Good understanding of <b>data governance, compliance, and security best practices</b>.</li>
</ul></div></div><div></div><h2 class="jobSectionHeader"><b>mail to: recruitment@1cloudhub.com</b></h2><div></div>
</div></div></div></div></div><div></div><div><div><div><div><div><h4 class="jobSectionHeader"><b>COMPETITIVE SALARY</b></h4></div></div></div><div><div><div>
<div></div><h4 class="jobSectionHeader"><b>HEALTH INSURANCE</b></h4><div></div>
</div></div></div><div></div><div><div><div><h4 class="jobSectionHeader"><b>FUN TEAM</b></h4></div></div></div></div></div></div><div></div>

Senior Data Engineer

optimhire

<p><b>Job Description</b></p><p><b>---------------------------------------------------------</b></p><p>Job Description: Senior Data Engineer</p><p>Employment Type: Full-Time</p><p>Location: Bangalore</p><p>Work Type: Hybrid (in future)</p><p>Senior Data Engineer will be responsible for building and</p><p>deploying scalable data driven solutions. Data Engineers are responsible for working</p><p>with both SQL and NoSQL technologies and collaborating with other product</p><p>development teams identifying and implementing the appropriate data repositories</p><p>based on strategical business needs.</p><p>Responsibilities for Senior Data Engineer:</p><p>&#61623; Data Pipeline Development:</p><p>&#61656; Assist in designing, developing, and maintaining data pipelines to ensure efficient</p><p>data ingestion, transformation, and storage.</p><p>&#61656; Collaborate with senior data engineers to implement ETL (Extract, Transform,</p><p>Load) processes and workflows.</p><p>&#61623; Database Management:</p><p>&#61656; Support the management and optimization of relational and NoSQL databases.</p><p>&#61656; Assist in database schema design, indexing, and performance tuning.</p><p>&#61623; Data Quality and Integrity:</p><p>&#61656; Monitor and validate data to ensure accuracy and consistency across systems.</p><p>&#61656; Help identify and resolve data quality issues and implement data cleansing</p><p>techniques.</p><p>&#61623; Data Integration:</p><p>&#61656; Assist in integrating data from various sources, including internal and external</p><p>systems, APIs, and third-party data providers.</p><p>&#61656; Support data migration and synchronization tasks as needed.</p><p>&#61623; Collaboration and Communication:</p><p>&#61656; Work closely with data analysts, data scientists, and other stakeholders to</p><p>understand data requirements and deliver solutions.</p><p>&#61656; Participate in team meetings, providing updates on progress and contributing to</p><p>project discussions.</p><p>&#61623; Documentation and Reporting:</p><p>&#61656; Document data engineering processes, workflows, and systems to ensure clarity</p><p>and maintainability.</p><p>&#61656; Prepare reports and presentations to communicate data insights and project</p><p>status to the team and management.</p><p>Qualifications and Working Experience:</p><p>1. Bachelor&rsquo;s degree in computer science, Information Technology, Data Science, or</p><p>a related field.</p><p>2. 5 - 7 years of experience in data engineering, database management, or a</p><p>related role.</p><p>Technical Skills:</p><p>1. Proficiency in SQL and experience with relational databases (e.g., MySQL,</p><p>PostgreSQL, SQL Server).</p><p>2. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.</p><p>3. Knowledge of programming languages such as Python Java, or Scala is must.</p><p>4. Understanding of data warehousing concepts and ETL processes. ML Basics</p><p>and exposure is desirable</p><p>5. Familiarity with data integration tools and platforms is a plus (e.g., Apache NiFi,</p><p>Talend).</p><p>6. AWS, Glue and/or Azure Data Factory exposure/experience is a plus/desirable</p><p>7. Experience in API, Big Data Technologies is desirable</p><p>8. ML Basics and exposure is desirable</p><p>Required Qualities:</p><p>1. Strong analytical and problem-solving skills.</p><p>2. Ability to work effectively both independently and as part of a team.</p><p>3. Excellent communication and interpersonal skills.</p><p>4. Attention to detail and a commitment to delivering high-quality work</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;2,500,000.00 - &#8377;3,500,000.00 per year</p><p>Application Question(s):</p><ul><li>How many years of overall experience do you currently have?</li><li>What is your notice period in days?</li><li>What is your CTC in LPA?</li><li>Are you from Tier I college?</li></ul><p>Experience:</p><ul><li>ETL(Extract, Transform, Load): 2 years (Required)</li><li>Data Engineering: 5 years (Required)</li><li>SQL: 3 years (Required)</li><li>Python: 3 years (Required)</li><li>Data Modeling: 3 years (Preferred)</li><li>Azure: 3 years (Preferred)</li><li>AWS: 3 years (Preferred)</li><li>Apache Scala: 2 years (Preferred)</li><li>Product development : 1 year (Required)</li><li>healthcare domain: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

FloData Analytics

<p><b>Job Title: Senior Data Engineer</b><br/><b>Job Type: Full-time (Remote)</b><br/><b>Shift Timing - 5.30-6pm to 2.30-3am IST</b><br/><b>Experience Required: 2&ndash;3 Years</b></p><p>At Flodata Analytics, we are seeking a Senior Data Engineer to join our team. The ideal candidate will be a technical leader with a passion for transforming data into strategic business insights. This role requires a high degree of proficiency in SQL and Tableau, with solid Python skills to support automation and backend processes.</p><p><b>Note - To Apply Pls fill this form - https://forms.gle/3GmQ4jNKuQ4Xxez19</b></p><p><b>Key Responsibilities:</b></p><ul><li><b>Lead Business Intelligence &amp; Analytics:</b></li><li>Design, develop, and maintain advanced Tableau dashboards and reports that provide actionable insights to senior leadership and business stakeholders.</li><li>Serve as the subject matter expert on data visualization and storytelling, ensuring all reporting is clear, accurate, and impactful.</li><li>Mentor and guide junior analysts in best practices for data visualization, SQL optimization, and dashboard designs</li><li><b>Advanced Data Management &amp; Optimization:</b></li><li>Architect and optimize complex SQL queries, database schemas, and data pipelines to ensure high-performance data retrieval and reporting.</li><li>Implement strategies to optimize Tableau extracts and database connections, significantly reducing dashboard load times</li><li><b>Backend Automation &amp; Process Improvement:</b></li><li>Develop and maintain Python scripts to automate key data processes, from ETL workflows to reporting tasks.</li><li>Contribute to architectural decisions for data pipelines, reporting, and automation.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li><b>SQL:</b> Deep understanding of database design, query optimization, and complex joins. Ability to write highly efficient, maintainable, and robust SQL queries. Experience with stored procedures, functions, and performance tuning is essential.</li><li><b>Tableau:</b> Strong knowledge on Tableau, with ability to create sophisticated, interactive, and visually compelling dashboards. Experience with advanced calculations, level-of-detail (LOD) expressions, and performance optimization techniques for large datasets.</li><li><b>Python</b>: Comfortable with Python for scripting, automation, and backend development. Write clean, reusable code and be familiar with libraries like Pandas and SQLAlchemy for data manipulation and database interactions:</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and team collaboration.</li><li>Ability to manage multiple tasks, priorities, and deadlines.</li><li>Proactive learner with a mindset to improve processes and systems.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;600,000.00 - &#8377;700,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>9/09/2025</p>
</div><div><p>Description</p>
<div>Senior Data Engineer<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Cambridge, MA: $158,600 - $181,000 for Senior Data Engineer<br>
<p></p>
McLean, VA: $158,600 - $181,000 for Senior Data Engineer<br>
<p></p>
Richmond, VA: $144,200 - $164,600 for Senior Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Data Engineer<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Cambridge, MA: $158,600 - $181,000 for Senior Data Engineer<br>
<p></p>
McLean, VA: $158,600 - $181,000 for Senior Data Engineer<br>
<p></p>
Richmond, VA: $144,200 - $164,600 for Senior Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
158,600.00 - 181,000.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Haq BPO Solutions

<p><b>Location: DHA 5, Lahore</b></p><p><b>About the Role:</b></p><p>Infinity Edge Technologies is hiring a Senior Data Engineer to join our growing Data Engineering team. This is a great opportunity for someone with over <b>3 years of experience</b> looking to expand their skills in modern data platforms, tools, and cloud technologies.</p><p>As a Senior Data Engineer, you'll play a vital role in building scalable data pipelines and helping us build a reliable data infrastructure to support analytics, reporting, and AI/ML initiatives. You&rsquo;ll work closely with engineering, analytics, and DevOps teams to deliver quality data products and enable smarter business decisions.</p><p><b>Key Responsibilities</b></p><p>&#9679; Build and maintain reliable, scalable ETL/ELT pipelines using tools like DBT, Airflow, or Matillion</p><p>&#9679; Develop complex SQL queries for data extraction, transformation, and reporting</p><p>&#9679; Work on cloud platforms like GCP, AWS, or Azure and services like BigQuery, Snowflake, or S3</p><p>&#9679; Collaborate with cross-functional teams to design and implement new data models</p><p>&#9679; Support data quality and data governance processes</p><p>&#9679; Create and maintain technical documentation and participate in code reviews</p><p>&#9679; Integrate and automate data ingestion from multiple sources (APIs, internal systems, third-party platforms)</p><p>&#9679; Ensure proper access controls, security, and compliance (HIPAA, if applicable) Required Skills &amp; Qualifications</p><p>&#9679; 3+ years of experience in Data Engineering, ETL/ELT processes, or Data Warehousing</p><p>&#9679; Strong command over SQL, Python, and scripting for data transformation</p><p>&#9679; Experience with at least one cloud platform (AWS, GCP, Azure)</p><p>&#9679; Hands-on experience with modern tools like DBT, Airflow, Fivetran, Snowflake, BigQuery, etc.</p><p>&#9679; Good understanding of data modeling, data governance, and data quality practices</p><p>&#9679; Experience working in Agile environments and CI/CD pipelines</p><p>&#9679; Comfortable working in cross-functional teams and fast-paced environments BI, Reporting &amp; Visualization: &#9679; Tableau, Power BI, Looker, Amazon QuickSight</p><p>&#9679; SQL Reporting, Business KPI Dashboards</p><p><b>Data Modeling &amp; Performance:</b></p><p>&#9679; Star Schema, Snowflake Schema, Data Vault</p><p>&#9679; Dimensional Modeling, Normalization/Denormalization</p><p>&#9679; Query Optimization, Indexing, Caching, Partitioning</p><p>&#9679; dbt SQL Transformations</p><p><b>Preferred (Nice to Have)</b></p><p>&#9679; DBT or Snowflake Certification</p><p>&#9679; Knowledge of FHIR, healthcare data models, or working with regulated domains (e.g., healthcare, banking)</p><p>&#9679; Experience with Docker, Kubernetes, or big data technologies like Kafka, pySpark</p><p>&#9679; Understanding of data security, IAM policies, and compliance frameworks</p><p>Job Type: Full-time</p><p>Pay: Rs300,000.00 - Rs350,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Experience:</p><ul><li>4years: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Talent Formula

<div><div>Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Engineer. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.</div><div>
 The Senior Data Engineer is a new and unique role critical to helping us realize our vision for new and valuable data products and services. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining robust data pipelines and platforms that enable the creation and deployment of data products. Your eye for intuitive and simple design, combined with mature data engineering and machine learning skills, and a strong work ethic, will position you well to experience a rewarding career with Talent Formula.</div><div>
</div><div>
The opportunities for you to learn and grow in this role are limitless. We need you to help us identify, and make intuitive, new data insights that will help raise the bar, optimize, and grow the business.</div><div></div><div><b><br>
Note: This is a office based role</b></div><div>
</div><div><b>
What you do if you join us:</b></div><div></div><div><br>
Design and Development:</div><ul><li>Architect, build, and optimize scalable data pipelines and workflows to support data architecture in the hospitality industry.</li><li>Develop data models and schemas that facilitate seamless integration with downstream analytics and applications.</li><li>Automating build and deployment pipelines for end-to-end customer lifecycle</li><li>Proactively seek to link analytical outputs to commercial outcomes</li><li>Optimize components to run efficiently in the cloud</li><li>Assist in troubleshooting and resolving data pipeline issues and infrastructure-related problems in a timely manner</li><li>Implement data quality checks, monitoring, and governance frameworks</li><li>Contribute to the product roadmap, sprint planning, stand-ups, and ensuring the scrum board is up to date</li><li>Document data engineering processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility</li></ul><div></div><div><br>
</div><div>
 Personal attributes</div><ul><li>You are organised, efficient, and a fast learner</li><li>You demonstrate a scientific and design-led approach to delivering effective data solutions</li><li>Integrity, honesty, trust, and respect.</li><li>You are self-motivated and can work as an individual and in a team</li><li>You love innovation and are always looking for ways to improve</li><li>You are an excellent communicator, patient, and able to explain your point ideas verbally, and in writing</li></ul><div>
</div><div>
 We would love to hear from you if you&hellip;</div><ul><li>have 5+ years of experience in data engineering / analytics</li><li>have a Bachelor&rsquo;s or Master&rsquo;s degree in data science, mathematics, statistics, or computer science</li><li>understand good data design principles</li><li>are proficient in the development and operation data pipelines</li><li>production python experience</li><li>can work with others to hypothesize and identify trends in data to achieve results for customers.</li><li>are experienced with SQL, Python, Jupyter Notebooks, and ETL tools (dbt, stored procs)</li><li>familiar with cloud hosting services (mainly, Google, Azure), and their data services</li><li>familiar with ML techniques (mainly, regarding text analysis and classification)</li></ul><div>
</div><div>
It would be fantastic but not essential if you have experience working with any of the following technologies:</div><ul><li>Google Cloud Platform (BigQuery, Cloud Run, Pub/Sub)</li><li>Azure (MS SQL Server)</li><li>Postman (API development)</li><li>Python Django</li><li>DBT, Stored procedures</li><li>ML (text analysis, classification)</li><li>Tableau/Looker Studio/Power BI</li></ul></div><div></div>

ixceed

<p><b>Role: Lead Data Engineer</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><b>ob Description:</b></p><p>We are looking for a <b>Senior Data Engineer</b> with strong expertise in <b>Scala</b>, <b>Apache Spark</b>, and <b>PySpark</b> to join our team for a high-impact project. The ideal candidate will play a leading role in developing and optimizing big data solutions on cloud-based platforms like <b>Databricks</b>.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop scalable data pipelines and applications using <b>Scala</b>, <b>Spark</b>, and <b>PySpark</b></li><li>Collaborate with cross-functional teams to design, build, and maintain robust data solutions</li><li>Optimize data workflows for performance and scalability on <b>Databricks</b></li><li>Mentor junior team members and provide technical leadership in data engineering practices</li><li>Participate in code reviews and ensure best practices are followed</li></ul><p><b>Required Skills:</b></p><ul><li><b>Strong hands-on experience in Scala programming</b> (must-have)</li><li>Solid experience with <b>Apache Spark</b> and <b>Databricks</b></li><li>Proficient in <b>PySpark</b> and <b>Python</b></li><li>Experience building and maintaining large-scale data processing systems</li><li>Strong understanding of distributed computing principles</li><li>Ability to write clean, maintainable, and efficient code</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with cloud platforms (e.g., Azure, AWS, or GCP)</li><li>Knowledge of ELT/ETL frameworks and data orchestration tools</li><li>Familiarity with CI/CD for data pipelines</li></ul><p>Job Type: Permanent</p><p>Pay: &#8377;3,000,000.00 - &#8377;3,500,000.00 per year</p><p>Experience:</p><ul><li>Scala programming : 5 years (Required)</li><li>Spark: 3 years (Required)</li><li>Pyspark: 3 years (Required)</li><li>Spark (Databricks): 3 years (Required)</li><li>Total: 10 years (Required)</li></ul><p>Work Location: In person</p>

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