Key Responsibilities

<ul>
<li>As an Advanced Data Engineer, you will be part of a team that delivers contemporary analytics solutions for all Honeywell business groups and functions. </li>
</ul>

<ul>
<li>You will build strong relationships with leadership to effectively deliver contemporary data analytics solutions and contribute directly to business success. </li>
</ul>

<ul>
<li>You will develop solutions on various Database systems viz. Databricks, Hive, Hadoop, PostgreSQL, etc.</li>
</ul>

<ul>
<li>You will identify and implement process improvements and you don t like to the same thing twice so you will automate it if you can. </li>
</ul>

<ul>
<li>You are always keeping an eye on scalability, optimization, and process. You have worked with Big Data before, IoT data, SQL, Azure, AWS, and a bunch of other acronyms.</li>
</ul>

<ul>
<li>You will work on a team including scrum masters, product owners, data architects, data engineers, data scientists and DevOps. </li>
</ul>

<ul>
<li>You and your team collaborate to build products from the idea phase through launch and beyond. The software you write makes it to production in couple of sprints.</li>
<li></li>
<li> </li>
<li>Your team will be working on creating a new platform using your experience of APIs, microservices, and platform development.</li>
</ul>

You Must Have

<ul>
<li>Bachelors degree in Computer Science, Engineering, Applied Mathematics or related field</li>
</ul>

<ul>
<li>8-11 years of data engineering experience</li>
</ul>

<ul>
<li>Should have developed and deployed complex big data ingestion jobs in Spark/Informatica BDM/Talend bringing prototypes to production on Hadoop/NoSQL/MPP platforms.</li>
</ul>

<ul>
<li>Should have minimum 5 years of hands on experience with Spark, Pig/Hive, etc. and automation of data flow using Informatica, Spark, NiFi or Airflow/Oozie.</li>
</ul>

<ul>
<li>Minimum 5 years of experience in developing and building applications to process very large amounts of data (structured and unstructured), including streaming real-time data Python Spark and Scala. (Kafka, Spark streaming or other such tools).</li>
</ul>

<ul>
<li>Hands on experience in Databricks, Cloudera, Hortonworks and/or Cloud (AWS EMR, Azure Data Lake Storage) based Hadoop distributions.</li>
</ul>

<ul>
<li>Effective communication skills and succinct articulation</li>
</ul>

We Value

<ul>
<li>Minimum 4+ years of experience in working with at least one NoSQL system (HBase, Cassandra, MongoDB etc.).</li>
</ul>

<ul>
<li>In-depth knowledge of schema design to effectively tackle the requirement.</li>
</ul>

<ul>
<li>Experience in writing complex SQL statements</li>
</ul>

<ul>
<li>Experience in working with cloud-based deployments. Understanding of containers container orchestration (Swarm or Kubernetes).</li>
</ul>

<ul>
<li>Experience in building advanced analytics solutions with data from enterprise systems like ERPs, CRMs, Marketing tools etc.</li>
</ul>

<ul>
<li>Experience with dimensional modeling, data warehousing and data mining</li>
</ul>

<ul>
<li>Good understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo</li>
</ul>

<ul>
<li>Experience working with in Agile Methodologies and Scrum Knowledge of software best practices, like Test-Driven Development (TDD)</li>
</ul>

<ul>
<li>Database performance management and API development</li>
</ul>

<ul>
<li>Technology upgrade oversight</li>
</ul>

<ul>
<li>Experience with visualization software (Tableau, Spotfire, Qlikview, Angular js, D3.js)</li>
</ul>

<ul>
<li>Understanding of best-in-class model and data configuration and development processes</li>
</ul>

<ul>
<li>Experience working with remote and global teams and cross team collaboration</li>
</ul>

<ul>
<li>Consistently makes timely decisions even in the face of complexity, balancing systematic analysis with decisiveness</li>
</ul>

Sr Advanced Data Engineer in Mumbai (UID-8542)

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Job Description for Sr Advanced Data Engineer

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