Qureos Mentor

Egen Solutions Inc

<div><div><div><b>About the Role:</b></div><div>
The Salesforce CRM Analytics Sr/Lead Developer role is an important position within the Platform</div><div>
Analytics team, involving the support and enhancement of Salesforce implementations for diverse clients</div><div>
across industries.</div><div><b>
Location: </b>Hyderabad. This role requires an on-site presence, with no hybrid or remote work option.</div><div><b>
Experience:</b> 4-7 Years (with Minimum 4 Years of Relevant Experience)</div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Your Contribution:</b></h3><ul><ul><li>
Collaborate with the CRM Analytics team to analyze and address business, functional, and technical</li><li>
requirements and issues.</li><li>
Participate in project team meetings, ensuring effective communication with various stakeholders.</li><li>
Leverage strong hands-on experience in CRM Analytics to envision and design solutions, provide</li><div>
meaningful insights, and take a consultative approach with stakeholders.</div><li>
Translate business requirements into well-architected solutions, optimizing the use of the CRM</li><div>
Analytics platform.</div><li>
Develop data flows, recipes, data sets, lenses, and dashboards to facilitate quick decision-making.</li><li>
Perform data integration, connecting CRM Analytics to Salesforce and external systems.</li><li>
Utilize hands-on experience with JSON and Intelligence within Einstein Analytics.</li><li>
Assess and troubleshoot bugs and data discrepancies within the analytics platform.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><ul><li>
Strong hands-on experience in CRM Analytics.</li><li>
Proven expertise in analytical solutions.</li><li>
Strong communication skills.</li><li>
Strong experience in SQL/SAQL.</li><li>
Proficiency in Dataprep/Recipe building.</li><li>
Knowledge of CRMA Admin and Permissions.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Good to have:</b></h3><ul><ul><li>
Tableau experience will be a strong plus.</li><li>
Dashboard Templatization is an add-on.</li><li>
Datacloud exposure is an advantage.</li><li>
Great to have explored Tableau next.</li><li>
Knowledge of Einstein Discovery is a plus.</li><li>
Background in any ETL tool is an add-on.</li><li>
Knowledge of JavaScripting &amp;amp; Visual Studio is an add-on.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Senior/Lead CRM Analytics Developer

<div><div><div><b>Job Overview:</b></div><div></div><div><br>
We are seeking a highly skilled Data Engineer with strong expertise in <b>AWS cloud services and Python programming</b>. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data availability, quality, and performance across enterprise systems. You will collaborate closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-quality data solutions.</div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><ul><li>
Design, develop, and maintain ETL/ELT data pipelines using Python and AWS native services (Glue, Lambda, EMR, Step Functions, etc.)</li><li>
Build and manage data lakes and data warehouses using Amazon S3, Redshift, Athena, and Lake Formation</li><li>
Implement data ingestion from diverse sources (RDBMS, APIs, streaming data, on-premise systems)</li><li>
Optimize data workflows for performance, cost, and reliability using AWS tools like Glue Jobs, Athena, and Redshift Spectrum</li><li>
Develop reusable, modular Python-based frameworks for data ingestion, transformation, and validation</li><li>
Work with stakeholders to understand data requirements, model data structures, and ensure data consistency and governance</li><li>
Deploy and manage data infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation</li><li>
Implement data quality, monitoring, and alerting using CloudWatch, Glue Data Catalog, or third-party tools</li><li>
Support data security and compliance (IAM roles, encryption, data masking, GDPR policies, etc.)</li><li>
Collaborate with DevOps and ML teams to integrate data pipelines into analytics and AI workflows</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field.</li><li>
Minimum 5 to 8 years of experience as a Data Engineer or similar role.</li><li>
Strong programming experience in Python (pandas, boto3, PySpark, SQLAlchemy, etc.)</li><li>
Deep hands-on experience with AWS services, including:</li><li>
AWS Glue, Lambda, EMR, Redshift, Athena, S3, Step Functions</li><li>
IAM, CloudWatch, Kinesis (for streaming), and ECS/EKS (for containerized workloads)</li><li>
Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, MongoDB)</li><li>
Strong knowledge of data modeling, schema design, and ETL orchestration.</li><li>
Familiarity with version control (Git) and CI/CD pipelines for data projects.</li><li>
Understanding of data governance, lineage, and cataloging principles.</li><li>
Excellent problem-solving, debugging, and performance-tuning skills.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Preferred Skills</b></h3><ul><ul><li>
Experience with Apache Spark or PySpark on AWS EMR.</li><li>
Exposure to Airflow, dbt, or similar workflow orchestration tools.</li><li>
Knowledge of containerization (Docker, Kubernetes) and DevOps practices.</li><li>
Experience with machine learning data pipelines or real-time streaming (Kafka, Kinesis).</li><li>
Familiarity with AWS Glue Studio, AWS DataBrew, or AWS Lake Formation.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><ul><li>
Strong analytical and communication skills.</li><li>
Ability to work independently and in cross-functional teams.</li><li>
Passion for automation and continuous improvement.</li><li>
Adaptability in fast-paced, evolving cloud environments.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Data Engineer – Python & AWS

Join Egen Solutions Inc and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Egen Solutions Inc

ABOUT_COMPANY

Senior/Lead CRM Analytics Developer

Data Engineer – Python & AWS