etl engineer

Caregenix Solutions

<p>We're Hiring: <b>ETL Engineer</b> (Remote &ndash; Full Time)</p><p>Company: CareGenix Solutions</p><p>Location: Remote</p><p>Experience: <b>1 -</b> <b>3 Years</b></p><p>Type: Full-Time</p><p>Caregenix Solutions, a fast-growing healthcare tech company, is seeking a skilled ETL Engineer to design and maintain robust data pipelines that power real-time insights and analytics.</p><p>Key Responsibilities:</p><p>Build and manage scalable ETL/ELT pipelines using AWS services (Glue, Lambda, S3, EMR, Redshift, etc.).</p><p>Design and optimize data models and databases (Redshift, Athena, RDS).Ingest data from diverse sources and ensure quality through validation checks.</p><p>Collaborate with teams to deliver reliable, insight-driven data solutions.Monitor pipeline performance and troubleshoot as needed.</p><p>Follow best practices for data security and governance.Requirements6+ years in Data Engineering or similar roles.</p><p>Strong in SQL and Python or Scala.Hands-on experience with AWS data tools: Glue, Redshift, EMR, Athena, Kinesis, etc.</p><p>Experience with workflow/orchestration tools (Airflow, Step Functions).Solid knowledge of data warehousing, performance tuning, and big data.</p><p>Familiarity with CI/CD, Git, and IaC tools (Terraform, CloudFormation).Bachelor&rsquo;s in Computer Science, Engineering, or related field.</p><p>To Apply Send your resume to careers@caregenix.solutions</p><p>Subject Line: ETL Engineer</p><p>Be part of a team transforming healthcare through data. We&rsquo;d love to hear from you</p><p>Job Type: Full-time</p><p>Pay: Up to Rs200,000.00 per month</p><p>Application Question(s):</p><ul><li>How many years of experience do you have in this field?</li><li>what is your expected pay?</li></ul><p>Work Location: Remote</p>

ETL Engineer

Redlinux

<p><b>Freelancing Opportunity</b></p><p><b>Job Title:</b> ETL Engineer/ML</p><p><b>Experience:</b> 7+ Years</p><p><b>Job Overview</b></p><p>We are seeking a <b>highly skilled Machine Learning / ETL Engineer </b> to join our <b>Business Intelligence IT team</b>. The ideal candidate will design, develop, and optimize large-scale <b>ETL/ELT pipelines</b>, integrate diverse data sources, and apply <b>Machine Learning frameworks</b> for data quality and anomaly detection. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver scalable, reliable, and actionable data-driven solutions.</p><p>This is a critical role in ensuring <b>data integrity, scalability, and performance</b> of our enterprise data platforms across cloud environments such as <b>Snowflake, AWS, and GCP</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Design, architect, and implement <b>robust, high-performance ETL/ELT pipelines</b> for large-scale data processing.</li><li>Collect and integrate data from multiple sources (databases, APIs, web services) into data lakes or warehouses.</li><li>Develop and maintain scalable <b>data processing solutions</b> using <b>Snowflake, AWS, and GCP</b> platforms.</li><li>Implement <b>data quality, anomaly detection, and monitoring systems</b> using Machine Learning frameworks.</li><li>Optimize query performance and manage large-scale data models, schemas, and metadata.</li><li>Support <b>data governance</b> through documentation, access control, lineage tracking, and retention policies.</li><li>Collaborate with cross-functional teams (data scientists, analysts, engineers, and business units) to translate requirements into actionable technical solutions.</li><li>Participate in <b>CI/CD and automation initiatives</b> to streamline data workflows and improve efficiency.</li><li>Ensure <b>data accuracy, reliability, and availability</b> for analytical and reporting purposes.</li></ul><p><b>Qualifications</b></p><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Information Technology, or a related field.</li><li><b>7+ years</b> of experience in <b>data warehouse architecture, ETL/ELT pipelines, and data engineering</b>.</li><li><b>5+ years</b> of experience in <b>data modeling</b> and writing <b>advanced SQL</b> queries across <b>Snowflake, Oracle</b>, and <b>Columnar Databases</b>.</li><li>Strong knowledge of <b>data modeling, schema design, and data lakes</b>.</li><li>Experience with <b>AWS services</b> such as <b>S3, Lambda, and Data Pipeline</b>.</li><li>Hands-on experience with <b>Machine Learning algorithms</b> for <b>data quality and anomaly detection</b>.</li></ul><p><b>Technical Skills</b></p><ul><li><b>Programming:</b> Python, SQL</li><li><b>ETL Tools:</b> Databricks, IBM DataStage (preferred)</li><li><b>Cloud Platforms:</b> Snowflake, AWS, GCP, BigQuery</li><li><b>Data Processing Frameworks:</b> Apache Spark (or equivalent big data tools)</li><li><b>Workflow Orchestration:</b> Apache Airflow, AWS MWAA</li><li><b>DevOps Tools:</b> CI/CD pipelines, automation frameworks</li><li><b>Data Architecture:</b> Data lakes, warehouses, multi-cluster architecture, shareable data features</li><li><b>Bonus:</b> Familiarity with Databricks, DataStage, and advanced Snowflake capabilities</li></ul><p>Job Types: Part-time, Freelance<br/>Contract length: 12 months</p><p>Pay: &#8377;30,000.00 - &#8377;40,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>total work: 6 years (Required)</li></ul><p>Shift availability:</p><ul><li>Night Shift (Required)</li><li>Overnight Shift (Required)</li></ul><p>Work Location: Remote</p>

CrossAsyst

<div><div><b>AWS Data Engineer (ETL Specialist)</b></div><div>
</div><div><b>
Experience: </b>3-5 years (minimum 2+ years hands-on experience with AWS-native data engineering tools)</div><div></div><div><b><br>
Location</b>: Gigaplex, Airoli West</div><div>
</div><div><b>
Role Overview: </b>The AWS Data Engineer will design, develop, and manage scalable data pipelines and analytics infrastructure in a cloud-native environment. This engineer will be responsible for architecting complex ETL processes using AWS-managed services, optimizing data performance, and ensuring data quality, security, and observability across multiple systems. The ideal candidate has deep AWS knowledge, strong ETL design experience, and a solid grasp of modern data engineering practices.</div><div>
</div><div><b>
Key Responsibilities:</b></div><ul><li>Design and implement end-to-end ETL workflows leveraging AWS services such as Glue, Lambda, Step Functions, EMR, Redshift, Kinesis, and S3.</li><li>Develop and maintain data ingestion pipelines from structured, semi-structured, and streaming data sources.</li><li>Design and maintain data lake and data warehouse solutions (S3, Redshift, Lake Formation).</li><li>Build transformation logic with PySpark, SQL, or Python, ensuring performance and integrity.</li><li>Orchestrate workflows using AWS Glue Workflows, Apache Airflow, or Step Functions.</li><li>Implement data quality validations, monitoring frameworks, and automated alerts for pipeline health.</li><li>Collaborate with data scientists, analysts, and application engineering teams to ensure data accessibility and alignment with analytics use cases.</li><li>Ensure compliance with data governance and security frameworks (IAM, encryption, GDPR/HIPAA as applicable).</li><li>Participate in data architecture reviews, contributing to design best practices for reliability and scalability.</li><li>Document all data flows, transformations, and pipeline specifications for reproducibility and audits.</li></ul><div>
</div><div><b>
Required Technical Skills:</b></div><ul><li>Strong development background in Python and SQL.</li><li>Expertise with AWS data services: Glue, Redshift, EMR, S3, RDS, Lambda, Kinesis, CloudWatch, and CloudFormation.</li><li>Deep understanding of ETL/ELT design patterns, including incremental loads and change data capture (CDC).</li><li>Familiarity with data modelling (Star/Snowflake schemas) and data lakehouse architectures.</li><li>Experience working with large-scale or real-time datasets.</li><li>Knowledge of data quality frameworks and data observability tools.</li><li>Comfort with DevOps and CI/CD workflows using Git, CodePipeline, or Terraform.</li><li>Advanced understanding of data security practices in AWS (IAM roles, encryption, network isolation).</li></ul><div>
</div><div><b>
Desired Skills:</b></div><ul><li>Hands-on experience with Snowflake, Databricks, or Athena.</li><li>Familiarity with BI/analytics tools (QuickSight, Power BI, Tableau).</li><li>AWS certifications such as AWS Certified Data Engineer &ndash; Associate or Data Analytics Specialty.</li><li>Strong analytical and communication skills to translate business data needs into engineering solutions.</li></ul><div>
</div><div><b>
Educational Requirements:</b></div><ul><li>Master's or Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related technical field.</li><li>AWS Data Engineering or Data Analytics certification preferred</li></ul></div>

AWS Data Engineer

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Data Migration Engineer &acirc;&euro;&ldquo; Archiving Service<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
Archiving Service Owner<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Hybrid<p></p><p><b>
What you will do</b></p><p>
Job Description</p><p><br>
We are excited to announce an opening for Senior Analyst at Kenvue.<br>
Please find below the details of the role and its responsibilities.</p><p><br>
Skills Required:<br>
AWS Glue, Airbyte, Lambda</p><p><br>
Experience Range:<br>
3 - 5 years</p><p><br>
Job Description:<br>
Job Title: Data Migration Engineer &ndash; Archiving Service<br>
Location: Kenvue India</p><p></p><p>
Job Type: Full-time<br>
Experience: 3 years</p><p></p><div>
About Kenvue:<br>
Kenvue is a global leader in consumer health, dedicated to providing innovative solutions<br>
that enhance the well-being of individuals and families. Our commitment to quality and<br>
excellence drives us to seek passionate professionals who are eager to make a<br>
difference.<br>
Job Summary:<br>
We are seeking an experienced Data Migration Engineer who will be responsible for<br>
migrating data from structured data sources such as Informatica ILM to Amazon S3 in<br>
Parquet file format, while ensuring the retention of all relevant metadata. The candidate<br>
will also manage the migration of data from Azure Blob Storage to Amazon S3 buckets.<br>
The ideal candidate will have a strong background in data migration, experience with<br>
Airbyte and other ETL tools, and familiarity with AWS components.<br>
Key Responsibilities:<br>
<ul><li>Design, execute, and manage data migration strategies to move data from Informatica</li></ul>
ILM to Amazon S3 in Parquet format, ensuring data integrity and metadata retention.<br>
<ul><li>Perform data migration from Azure Blob Storage to Amazon S3 buckets, ensuring</li></ul>
optimal performance and minimal downtime.<br>
<ul><li>Utilize Airbyte for ETL processes, configuring connectors, and implementing data</li></ul>
pipelines for efficient data extraction, transformation, and loading.<br>
<ul><li>Collaborate with cross-functional teams to gather requirements and ensure data</li></ul>
migration aligns with business objectives.<br>
<ul><li>Monitor and troubleshoot data migration processes, ensuring timely resolution of any</li></ul>
issues that arise.<br>
<ul><li>Document migration processes, data mappings, and transformations for compliance</li></ul>
and future reference.<br>
<ul><li>Stay updated on best practices and emerging technologies in data migration and cloud</li></ul>
services.<br>
Qualifications:<br>
<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>3+ years of experience as a Data Migration Engineer or in a similar role.</li><li>Proven experience with Airbyte and other ETL tools (e.g., Informatica, AWS Glue or</li></ul>
Airflow).<br>
<ul><li>Strong hands-on experience with AWS components, particularly S3, Lambda, Glue</li></ul>
and IAM.<br>
<ul><li>Familiarity with Azure Blob Storage and its integration with AWS services.</li><li>Experience with data formats such as Parquet and a strong understanding of data</li></ul>
modeling principles.<br>
<ul><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills to work effectively in a team</li></ul>
environment.</div><p></p><p><br>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Data Migration Engineer â€“ Archiving Service

HPE Juniper Networking

<div></div><div><div>Location</div>
Bangalore, Karnataka, 560100
<div>Category</div>
Engineering / Information Technology
<div>Job Type</div>
Full time
<div>Job Id</div>
1193169
<div></div>No</div>
<br><div>Data Lake L2<br>
<p></p>
This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE partner/customer office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p></p><p><b><br>
HPE Operations </b>is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers&rsquo; outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today&rsquo;s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what&rsquo;s next for you.</p><p></p><p><b>
What you&rsquo;ll do:</b></p><p></p><p>
We are looking for an experienced <b>Data Lake / ETL Engineer</b> with 3+ years of expertise in designing, developing, and managing large-scale <b>data ingestion, transformation, and analytics pipelines</b>. The role involves building scalable and secure data lake platforms, enabling business insights through efficient ETL/ELT frameworks, and ensuring data quality, performance, and governance across the enterprise ecosystem.</p><p><b>
Key Responsibilities</b></p><ul><li><p><b>
Data Lake Architecture &amp; Development</b></p><ul><li><p>
Design and implement data ingestion pipelines for <b>structured, semi-structured, and unstructured data</b>.</p></li><li><p>
Develop and manage <b>ETL/ELT processes</b> for large-scale data processing.</p></li><li><p>
Optimize storage and retrieval strategies across on-prem and cloud-based data lakes.</p></li></ul></li><li><p><b>
Data Integration &amp; Processing</b></p><ul><li><p>
Integrate data from multiple sources (databases, APIs, streaming platforms).</p></li><li><p>
Implement real-time and batch processing using <b>Apache Spark, Kafka, or Flink</b>.</p></li><li><p>
Support metadata management, data lineage, and cataloging.</p></li></ul></li><li><p><b>
Performance &amp; Optimization</b></p><ul><li><p>
Tune queries and pipelines for high performance and cost efficiency.</p></li><li><p>
Implement partitioning, indexing, and caching strategies for large datasets.</p></li><li><p>
Automate routine ETL/ELT workflows for reliability and speed.</p></li></ul></li><li><p><b>
Security &amp; Governance</b></p><ul><li><p>
Ensure compliance with <b>data governance, privacy, and regulatory standards</b> (GDPR, HIPAA, etc.).</p></li><li><p>
Implement encryption, masking, and role-based access control (RBAC).</p></li><li><p>
Collaborate with cybersecurity teams to align with Zero Trust and IAM policies.</p></li></ul></li><li><p><b>
Collaboration &amp; Support</b></p><ul><li><p>
Partner with data scientists, analysts, and application teams for analytics enablement.</p></li><li><p>
Provide L2/L3 support for production pipelines and troubleshoot failures.</p></li><li><p>
Mentor junior engineers and contribute to best practices documentation.</p></li></ul></li></ul><p><b>
Required Skills &amp; Experience</b></p><ul><li><p>
7+ years of experience in <b>data engineering, ETL/ELT development, or data lake management</b>.</p></li><li><p>
Strong expertise in <b>ETL tools</b> (Informatica, Talend, dbt, SSIS, or similar).</p></li><li><p>
Hands-on experience with <b>big data ecosystems</b>: Hadoop, Spark, Hive, Presto, Delta Lake, or Iceberg.</p></li><li><p>
Proficiency with <b>SQL, Python, or Scala</b> for data processing and transformation.</p></li><li><p>
Experience with <b>cloud data platforms</b> (AWS Glue, Redshift, Azure Synapse, GCP BigQuery).</p></li><li><p>
Familiarity with workflow orchestration tools (Airflow, Temporal, Oozie).</p></li></ul><p><b>
Preferred Knowledge</b></p><ul><li><p>
Exposure to <b>real-time data streaming</b> (Kafka, Kinesis, Pulsar).</p></li><li><p>
Knowledge of <b>data modeling (Kimball/Inmon), star schema, and dimensional modeling</b>.</p></li><li><p>
Experience with <b>containerized deployments</b> (Docker, Kubernetes).</p></li></ul><p></p><p><b>
What you need to bring:
</b></p><p></p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, IT, or related field.</p></li><li><p>
Preferred certifications:</p><ul><li><p>
AWS Certified Data Analytics &ndash; Specialty / Azure Data Engineer Associate / GCP Data Engineer.</p></li><li><p>
Informatica/Talend/dbt certifications (nice to have).</p></li></ul></li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india<div></div>
#operations<p></p><p><b>
Job:</b></p>
Services<p><b>
Job Level:</b></p>
TCP_01<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><br>
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p></p><p><br>
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p></div>

Data Lake L2

NTT DATA

<p><b>Req ID:</b> 344006
<br>
<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
<br>
We are currently seeking a Data Engineer - ETL Developer to join our team in Bangalore, Karn&#257;taka (IN-KA), India (IN).<br>
<br>
&quot;Job Duties: Design, develop, and maintain ETL workflows to extract data from various sources, transform it per business rules, and load it into target systems.<br>
Collaborate with customers and stakeholders during the shift to gather requirements, clarify data needs, and resolve issues in real time.<br>
Monitor and troubleshoot ETL processes to ensure timely and accurate data delivery.<br>
Optimize data pipelines for performance, scalability, and reliability.<br>
Implement data quality checks and validation routines to ensure integrity and consistency.<br>
Document ETL processes, data mappings, and workflows for transparency and maintainability.<br>
Work with data architects and analysts to understand data models and business logic.<br>
Participate in code reviews and testing to ensure high-quality deliverables.<br>
Support production deployments and post-deployment validation during the assigned shift.<br>
Respond to customer queries and incidents related to data issues or ETL failures.<br>
Maintain version control and change management for ETL scripts and configurations.<br>
Ensure compliance with data governance and security policies.<br>
<br>
Provide extended coverage for global teams, especially those in different time zones (e.g., US-based clients).<br>
Coordinate with offshore/onshore teams for handovers and status updates.<br>
Be available for late-day meetings, demos, or support calls with customers and internal teams.<br>
Perform after-hours data loads and batch processing, minimizing impact on business operations.<br>
Handle urgent data fixes or escalations during the evening hours.<br>
<br>
Minimum Skills Required: We are currently seeking a ETL Developer to join our team in Bangalore, Karn&#257;taka (IN-KA), India (IN).<br>
Strong hands-on experience in SQLs, PL/SQLs [Procs, Functions].
<br>
Expert level knowledge ETL flows &amp; Jobs [ADF pipeline exp preferred]<br>
Experience on MS-SQL [preferred], Oracle DB, PostgreSQL, MySQL.
<br>
Good knowledge of Data Warehouse/Data Mart.<br>
Good knowledge of Data Structures/Models, Integrities constraints, Performance tuning etc.<br>
Good Knowledge of Azure ADF pipeline.
<br>
Good Knowledge in Insurance Domain (preferred)<br>
Total Exp: 7 - 10 Yrs&quot;<br>
<br>
<b>About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
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Data Engineer - ETL Developer

Advansys ME

<b>Key Responsibilities:</b><br>
Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).
<br>Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.
<br>Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.
<br>Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.
<br>Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.
<br>Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).
<br>Support data governance, metadata management, and data lineage initiatives.
<br>Troubleshoot and resolve ETL and data-related issues in production and development environments.
<br>Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.
<br>Requirements
<br><br>
<b>Qualifications :</b><br>
At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).
<br>Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.
<br>Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).
<br><br>
<b>Technical Skills:</b><br>
Proficiency in designing and implementing ETL/ELT processes using Informatica tools.
<br>Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.
<br>Ability to optimize query performance and manage large data volumes in SingleStore environments.
<br>Experience in Data Quality Management, implementing data validation and auditing mechanisms.
<br>Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.

Informatica Data Warehouse Engineer (Single Store)

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