big data engineer

Pennant Technologies

<div><div>Job Title: Senior Big Data Engineer</div><div>
Department: Data &amp; Analytics</div><div>
Employment Type: Full&#8209;time</div><div>
Role Overview</div><div>
We are seeking an experienced Big Data Engineer to join our growing Data &amp; Analytics team. In this role, you&rsquo;ll design, build, and optimize our modern data platform&mdash;enabling scalable pipelines, reliable data lakes, and robust ML operations. You&rsquo;ll work closely with data scientists, analysts, and stakeholders to turn raw data into actionable insights.</div><div>
Key Responsibilities</div><ul><li>
Data Platform Development &amp; Maintenance</li><li>
Design, deploy, and maintain ETL/ELT pipelines using Apache Airflow and dbt/meltano.</li><li>
Architect and manage data lakes on HDFS and object storage (e.g., S3/HDFS).</li><li>
Implement table formats and governance with Apache Iceberg and Unity Catalog/Apache ranger/Atlas.</li><li>
Big Data Processing</li><li>
Develop distributed data processing jobs in Apache Spark (Scala/Java/Python).</li><li>
Optimize Spark applications for performance, cost, and scalability.</li><li>
Good working knowledge in Databases (Postgres, Mongo, SQL, Sql server etc)</li><li>
Collaboration with Data science teams</li><li>
Integrate MLflow for experiment tracking, model registry, and seamless deployment.</li><li>
Collaborate with data science teams to operationalize models in production.</li><li>
Containerization &amp; Orchestration</li><li>
Containerize data services and workflows using Docker/kubenetes.</li><li>
Orchestrate deployments on Kubernetes clusters (EKS/GKE/AKS).</li><li>
Center of Excellence &amp; Best Practices</li><li>
Contribute to and govern the dbt Center of Excellence: define standards, code reviews, and documentation.</li><li>
Advocate and enforce data engineering best practices: CI/CD, testing, monitoring, and observability.</li><li>
Cross&#8209;Functional Collaboration</li><li>
Partner with Analytics, Product, and Engineering teams to understand requirements and deliver solutions.</li><li>
Mentor junior engineers and share knowledge through code reviews and technical talks.</li></ul><div>
Required Skills &amp; Experience</div><ul><li>
5+ years of professional experience in Big Data engineering or similar roles.</li><li>
Airflow: Hands&#8209;on experience authoring DAGs, configuring operators/sensors, and managing scheduler/executor backends.</li><li>
Apache Spark: Proficient in building and tuning large&#8209;scale ETL jobs (Scala/Python).</li><li>
Apache Iceberg &amp; Unity Catalog: Familiarity with table formats, partitioning strategies, and catalog management.</li><li>
Data Lake &amp; HDFS: Solid understanding of storage architectures, file formats (Parquet/ORC), and data partitioning.</li><li>
MLflow: Working knowledge of experiment tracking, model registry, and deployment workflows.</li><li>
Kubernetes: Skilled in deploying, scaling, and debugging containerized applications and stateful workloads.</li><li>
dbt COE: Experience with dbt for data modeling, CI/CD integration, and establishing a CoE for standards.</li><li>
Strong programming skills in Python and/or Scala.</li><li>
Experience with version control (Git), CI/CD pipelines (Jenkins/GitHub Actions), and monitoring tools (Prometheus, Grafana).</li></ul><div>
Nice&#8209;to&#8209;Have</div><ul><li>
Familiarity with cloud platforms (AWS, GCP, or Azure) and managed services (EMR, Dataproc, EKS, GKE).</li><li>
Knowledge of additional data catalogs (e.g., AWS Glue, Hive Metastore).</li><li>
Background in event&#8209;driven architectures (Kafka, Pulsar).</li><li>
Prior involvement in data governance or compliance initiatives.</li></ul><div>
Education &amp; Certifications</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
Relevant certifications (e.g., Any cloud certification AWS/GCP/Azure/Databricks Certified Big Data &ndash; Specialty) are a plus.</li></ul><div>
Soft Skills</div><ul><li>
Excellent problem&#8209;solving and analytical abilities.</li><li>
Strong written and verbal communication; able to explain technical concepts to non&#8209;technical stakeholders.</li><li>
Proactive mindset with a passion for learning and driving innovation.</li><li>
Collaborative team player who thrives in agile, fast&#8209;paced environments.</li></ul><div>
Join us and help shape the future of our data platform&mdash;enabling smarter decisions, faster insights, and transformative business outcomes!</div></div><div></div>

Big Data Engineer

<div>At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. 
 
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. 
 
Job Title: Big Data Engineer
 
Position: Senior Software Engineer / Lead Analyst
 
Experience: 5-10 Years 
Category: Software Development/ Engineering 
Main location: India, Bangalore / Pune /Hyderabad / Chennai 
Position ID: J0725-2122
 
Employment Type: Full Time
Your future duties and responsibilities<ul><li>Design and develop scalable data engineering solutions using Google Cloud Platform (GCP) and PySpark.</li><li>Optimize Spark jobs for performance, scalability, and efficient resource utilization.</li><li>Develop, maintain, and enhance ETL pipelines using BigQuery, Apache Airflow, and Cloud Composer.</li><li>Collaborate with data scientists, analysts, and DevOps teams to translate business requirements into technical solutions.</li><li>Ensure data integrity and security by implementing data governance, compliance, and security best practices.</li><li>Monitor production workloads, troubleshoot performance issues, and implement enhancements.</li><li>Implement and enforce coding standards, best practices, and performance tuning strategies.</li><li>Support migration activities from on-premises data warehouses to GCP-based solutions.</li><li>Mentor junior developers and contribute to knowledge-sharing within the team.</li><li>Stay up to date with emerging cloud technologies, tools, and best practices in the data engineering ecosystem.</li></ul>
Required qualifications to be successful in this role
Skills : 6 years of Experience in Big Data, Hadoop, Spark, Python, PySpark, Hive, SQL 
Location : Pune / Bangalore / Chennai / Hyderabad 
Education : BE / B.Tech / MCA / BCA
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

Allstate Insurance

<div>At Allstate, great things happen when our people work together to protect families and their belongings from life&rsquo;s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers&rsquo; evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
We are seeking a Data Engineer to support the design, development, and maintenance of robust data pipelines and infrastructure that enable data-driven decision-making. This role requires hands-on experience in Azure Fabric, Oracle SQL, and PySpark, along with a strong understanding of modern data engineering practices. The ideal candidate will collaborate with team members and stakeholders to deliver efficient, high-quality data solutions that support analytics and reporting initiatives across the organization.
Key Responsibilities<ul><li>
Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines using PySpark, Oracle SQL, and Azure Fabric components to move and transform data from diverse sources.</li><li>
Data Integration: Support the integration of structured and semi-structured data across multiple systems, ensuring data consistency, quality, and performance.</li><li>
Cloud-Based Data Engineering: Leverage Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Data Lake Storage) to implement scalable and reliable data workflows.</li><li>
Data Modeling &amp; Querying: Write efficient SQL queries, perform data profiling, and assist in the development of logical and physical data models.</li><li>
Collaboration: Work with data analysts, BI developers, and data scientists to understand data needs and provide well-prepared datasets that support analytics use cases.</li><li>
Data Quality &amp; Testing: Contribute to the implementation of data quality checks, error handling, and validation processes in data pipelines.</li><li>
Documentation: Maintain clear and accurate documentation of data workflows, transformations, and architecture components.</li><li>
Continuous Improvement: Identify areas for performance optimization and recommend improvements to pipeline efficiency, storage design, or processing logic.</li></ul> 
Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, Information Systems, or a related field.</li><li>
3&ndash;6 years of experience in data engineering or a similar role.</li><li>
Hands-on experience with:
<ul><li>Azure Fabric and Azure-based data services</li><li>
Oracle SQL (data querying, scripting, and performance tuning)</li><li>
PySpark (for scalable data processing and transformation)</li></ul></li><li>
Solid understanding of ETL/ELT processes, data warehousing principles, and data lake architectures.</li><li>
Familiarity with data modeling, version control systems (e.g., Git), and CI/CD practices.</li></ul>
Primary Skills
Azure Service Fabric, Big Data, Big Data Engineering, Big Data Systems, Big Data Technologies, Data Engineering, Data Modeling, Data Science, ETL Processing, Extract Transform Load (ETL), Influencing Others, Oracle SQL, PySpark
Shift Time
Shift B (India)
Recruiter Info
Diksha Prasad
dprbd@allstate.com
About Allstate
Joining our team isn&rsquo;t just a job &mdash; it&rsquo;s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger &ndash; a winning team making a meaningful impact.
The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization&rsquo;s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.
Learn more about Allstate India here.</div>

Big Data Engineer Consultant II

Oracle

<div><ul><li>Design and implement large-scale, fault-tolerant data pipelines on OCI, using services like OCI Data Integration , OCI Data Flow (Apache Spark) , Object Storage , and Autonomous Database .
</li><li>Build and manage streaming data architectures using tools such as OCI GoldenGate , Apache Kafka , and Spark/Flink Streaming .
</li><li>Enforce standards and automation across the entire data lifecycle , including schema evolution, dataset migration, and deprecation strategies.
</li><li>Improve platform resilience, data quality, and observability with advanced monitoring, alerting, and automated data governance.
</li><li>Serve as a technical leader , mentoring junior engineers, reviewing designs and code, and promoting engineering best practices.
</li><li>Collaborate cross-functionally with ML engineers, platform teams, and data scientists to integrate data services with AI/ML workloads.
</li><li>Partner in AI pipeline enablement , ensuring Lakehouse services efficiently support model training, feature engineering, and real-time inference.
</li></ul>Minimum Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science , Engineering , or related technical field.
</li><li>4&ndash;6 year&rsquo;s experience designing and building cloud-based data pipelines and distributed systems .
</li><li>Proficiency in at least one core language: Python , Java , or Scala .
</li><li>Familiar with lakehouse formats (Iceberg, Delta, Hudi), file formats (Parquet, ORC, Avro), and streaming platforms (Kafka, Kinesis).
</li><li>Strong understanding of distributed systems fundamentals: partitioning , replication , idempotency , consensus protocols .</li></ul></div>
 <div>Engineering &amp; Infrastructure
<ul><li>5+ years building distributed systems or production-grade data platforms in the cloud.
</li><li>Strong coding proficiency in Python , Java , or Scala , with an emphasis on performance and reliability.
</li><li>Expertise in SQL and PLSQL , data modeling, and query optimization.
</li><li>Proven experience with cloud-native architectures &mdash;especially OCI , AWS, Azure, or GCP.
 </li></ul>Lakehouse &amp; Streaming Mastery
<ul><li>Deep knowledge of modern lakehouse/table formats : Apache Iceberg , Delta Lake , or Apache Hudi .
</li><li>Production experience with big data compute engines : Spark , Flink , or Trino .
</li><li>Skilled in real-time streaming and event-driven architectures using Kafka , Flink , GoldenGate , or Streaming .
</li><li>Experience managing data lakes , catalogs, and metadata governance in large-scale environments.
 </li></ul>AI/ML Integration
<ul><li>Hands-on experience enabling ML pipelines : from data ingestion to model training and deployment.
</li><li>Familiarity with ML frameworks (e.g., PyTorch , XGBoost , scikit-learn ).
</li><li>Understanding of modern ML architectures : including RAG , prompt chaining , and agent-based workflows .
</li><li>Awareness of MLOps practices , including model versioning, feature stores, and integration with AI pipelines.
</li></ul>&#65039; DevOps &amp; Operational Excellence
<ul><li>Deep understanding of CI/CD , infrastructure-as-code (IaC), and release automation using tools like Terraform , GitHub Actions , or CloudFormation .
</li><li>Experience with Docker , Kubernetes , and cloud-native container orchestration .
</li><li>Strong focus on testing, documentation , and system observability (Prometheus, Grafana, ELK stack).
</li><li>Comfortable with cost/performance tuning , incident response, and data security standards (IAM, encryption, auditing). 
</li></ul><div></div>Preferred Qualifications
<ul><li>Experience with Oracle&rsquo;s cloud-native tools : OCI Data Integration , Data Flow , Autonomous Database , GoldenGate , OCI Streaming .
</li><li>Experience with query engines like Trino or Presto , and tools like dbt or Apache Airflow .
</li><li>Familiarity with data cataloging , RBAC/ABAC , and enterprise data governance frameworks.
</li><li>Exposure to vector databases and LLM tooling (embeddings, vector search, prompt orchestration).
</li><li>Solid understanding of data warehouse design principles , star/snowflake schemas, and ETL optimization. 
</li></ul><div></div>Soft Skills &amp; Team Expectations
<ul><li>Proven ability to lead technical initiatives independently end-to-end .
</li><li>Comfortable working in cross-functional teams and mentoring junior engineers.
</li><li>Excellent problem-solving skills , design thinking, and attention to operational excellence.
</li><li>Passion for learning emerging data and AI technologies and sharing knowledge across teams.</li></ul></div>

Senior AI/Big Data Engineer

Webner Solutions pvt ltd

<div></div><div><div><div>We are looking for an experienced Hadoop Administrator to design, build, and maintain our Hadoop ecosystem based on the Open Data Platform (ODP) framework. The ideal candidate will have hands-on experience in the installation, configuration, tuning, and administration of key Hadoop components, including HDFS, YARN, Hive, Spark, Ranger, and Oozie.

This role involves end-to-end platform setup, ongoing maintenance, performance optimization, and support for enterprise big data workloads.

Key Responsibilities
<ul>
<li>Install, configure, and manage Hadoop clusters and ecosystem components (HDFS, YARN, Hive, Spark, Zookeeper, Oozie, etc.) on ODP-compliant distributions.</li>
<li>Build and deploy Hadoop stacks from scratch, including hardware sizing, capacity planning, and architecture design.</li>
<li>Implement cluster high availability (HA), backup/recovery, and disaster recovery strategies.</li>
<li>Manage user access, security policies, and Kerberos/Ranger configurations.</li>
<li>Perform cluster performance tuning, troubleshooting, and log analysis to ensure system stability.</li>
<li>Monitor system health and optimize resource utilization using Ambari, Cloudera Manager, or other monitoring tools.</li>
<li>Automate cluster operations using shell scripts or Python for deployment, maintenance, and patching.</li>
<li>Collaborate with data engineering and infrastructure teams for upgrades, migrations, and platform integrations.</li>
<li>Maintain detailed documentation for architecture, configurations, and operational runbooks.</li>
</ul>
Required Skills &amp; Experience
<ul>
<li>5&ndash;10 years of experience in Hadoop ecosystem administration.</li>
<li>Proven experience building Hadoop clusters from scratch using ODP distributions (Hortonworks, Cloudera, or similar).</li>
<li>Strong expertise in:
<ul><li>HDFS, YARN, Hive, Spark, Zookeeper, Oozie</li>
<li>Ambari or Cloudera Manager (installation, service management, and monitoring)</li>
<li>Kerberos, Ranger, or Sentry for security and authorization.</li>
<li>Proficiency in Linux system administration, shell scripting, and configuration management.</li>
<li>Experience with performance tuning, capacity planning, and troubleshooting in production environments.</li>
<li>Familiarity with HA configurations, NameNode failover, and cluster scaling.</li>
</ul>
</li></ul>Education
<ul>
<li>Regular MCA or Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or equivalent experience.
</li>
</ul>Nice to Have
<ul>
<li>Experience with cloud-based Hadoop environments (AWS EMR, Azure HDInsight, GCP Dataproc).</li>
<li>Exposure to containerized big data platforms (Kubernetes, Docker).</li>
<li>Knowledge of automation tools (Ansible, Terraform, Puppet).</li>
<li>Experience with Kafka, Airflow, or NiFi for data pipeline integration.\</li>
<li>Understanding of data governance, auditing, and monitoring best practices.</li></ul></div></div></div>
 To apply for a job, send an email to companyhr@webners.com. Do not forget to attach your detailed resume.

Hadoop Administrator / Big Data Platform Engineer

NTT DATA

<div>Req ID: 344790
 
 
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. 
 
We are currently seeking a Data Engineer - DBT to join our team in Bangalore, Karn&#257;taka (IN-KA), India (IN). 
 
&quot;Job Duties: We are seeking an Engineer to join our DBI organization within Data Scientist &amp; Data Engineering team. 
Your role 
As a Data Engineer, your main responsibilities will involve: 
<ul><li>strong experience working in projects in DBT.</li><li>The project is a migration of a SAS code to DBT code, so it's important that the candidate has experience in this type of projects.</li><li>Analyze data models and derive logical conclusions.</li><li>Processes modeling.</li><li>Hands on development and monitoring of the Azure cloud Platform and various associated components for data ingestion, transformation and processing.</li><li>Effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, including performance tuning and optimization.</li><li>Designs and writes programs according to functional and non-functional requirements.</li><li>Develops and maintains technical documentation.</li><li>Follows established configuration/change control processes.</li></ul> 
Minimum Skills Required: As a Big Data Developer / Data Engineer, your skills and experience will ideally include: 
<ul><li>University level education or equivalent</li><li>2+ years of experience working as a Data Engineer</li><li>Knowledge of design patterns</li><li>Ability to write complex SQL queries</li><li>A good understanding of distributed computation</li><li>DBT</li><li>GIT</li><li>Experience with Azure cloud.</li><li>Experience with Databricks.</li></ul>
 
Nice to have: 
<ul><li>Python</li><li>1+ Experience in functional programming (preferably Scala - big plus)</li><li>1+ years of experience in Apache Spark 2.0 (big plus)</li><li>Experience in R programming</li><li>Experience with Hadoop technologies (i.e. Sqoop, Hive, Flume etc.)</li><li>Continuous Integration / Continuous Deployment (Azure DevOps)</li><li>Experience in data exploration using notebooks (Databricks notebooks).</li><li>Experience in automation of regular tasks(e.g. data refreshes) using bash and python scripting.&quot;</li></ul> 

About NTT DATA 
 
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.</div>

Data Engineer - DBT

Amgen

<div>Data Engineer
What you will do
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role as Data Engineer at Amgen you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes<ul><li>
Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage.</li><li>
Build ETL pipeline with Informatica or other ETL tools.</li><li>
Support data governance and metadata management.</li><li>
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions</li><li>
Identify and resolve complex data-related challenges</li><li>
Adhere to best practices for coding, testing, and designing reusable code/component</li><li>
Analyze business and technical requirements and begin translating them into simple development tasks</li><li>
Execute unit and integration tests, and contribute to maintaining software quality</li><li>
Identify and fix bugs and defects during development or testing phases</li><li>
Contribute to the maintenance and support of applications by monitoring performance and reporting issues</li><li>
Use CI/CD pipelines as part of DevOps practices and assist in the release process</li></ul>
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:<ul><li>
Master&rsquo;s/Bachelor&rsquo;s degree and 4 to 8 years of Computer Science, IT or related field experience</li></ul>
Preferred Qualifications:<ul><li>
Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing</li><li>
Knowledge of Python/R, Databricks, cloud data platforms</li><li>
Strong understanding of data governance frameworks, tools, and best practices.</li><li>
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)</li></ul>
Must-Have Skills:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, or a related field.</li><li>
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), python for workflow orchestration, performance tuning on big data processing</li><li>
Proficiency in data analysis tools (eg. SQL)</li><li>
Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores</li><li>
Strong programming skills in Python, PySpark, and SQL.</li><li>
Familiarity with Informatica and/or other ETL tools.</li><li>
Experience working with cloud data services (Azure, AWS, or GCP).</li><li>
Strong understanding of data modeling, entity relationships</li></ul>
Professional Certifications<ul><li>
AWS Certified Data Engineer (preferred)</li><li>
Databricks Certificate (preferred)</li></ul>
Soft Skills:<ul><li>
Excellent problem-solving and analytical skills</li><li>
Strong communication and interpersonal abilities</li><li>
High attention to detail and commitment to quality</li><li>
Ability to prioritize tasks and work under pressure</li><li>
Team-oriented with a proactive and collaborative mindset</li><li>
Willingness to mentor junior developers and promote best practices</li><li>
Adaptable to changing project requirements and evolving technology</li></ul></div>

Data Engineer

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