Big Data Engineer

empowers digital transformation for innovative and high grow

Big Data Engineer

Hirebound

Company

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Big Data Engineer

at empowers digital transformation for innovative and high grow

Agency job

via Hirebound

4 - 12 yrs

₹12L - ₹30L / yr

Pune

Skills

Hadoop

Spark

Apache Kafka

ETL

Java

Scala

Python

To be successful in this role, you should possess

• Collaborate closely with Product Management and Engineering leadership to devise and build the

right solution.

• Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big

Data tools and frameworks required to solve Big Data problems at scale.

• Design and implement systems to cleanse, process, and analyze large data sets using distributed

processing tools like Akka and Spark.

• Understanding and critically reviewing existing data pipelines, and coming up with ideas in

collaboration with Technical Leaders and Architects to improve upon current bottlenecks

• Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior

Individual contributor on the multiple products and features we have.

• 3+ years of experience in developing highly scalable Big Data pipelines.

• In-depth understanding of the Big Data ecosystem including processing frameworks like Spark,

Akka, Storm, and Hadoop, and the file types they deal with.

• Experience with ETL and Data pipeline tools like Apache NiFi, Airflow etc.

• Excellent coding skills in Java or Scala, including the understanding to apply appropriate Design

Patterns when required.

• Experience with Git and build tools like Gradle/Maven/SBT.

• Strong understanding of object-oriented design, data structures, algorithms, profiling, and

optimization.

• Have elegant, readable, maintainable and extensible code style.

You are someone who would easily be able to

• Work closely with the US and India engineering teams to help build the Java/Scala based data

pipelines

• Lead the India engineering team in technical excellence and ownership of critical modules; own

the development of new modules and features

• Troubleshoot live production server issues.

• Handle client coordination and be able to work as a part of a team, be able to contribute

independently and drive the team to exceptional contributions with minimal team supervision

• Follow Agile methodology, JIRA for work planning, issue management/tracking

Additional Project/Soft Skills:

• Should be able to work independently with India & US based team members.

• Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.

• Strong sense of urgency, with a passion for accuracy and timeliness.

• Ability to work calmly in high pressure situations and manage multiple projects/tasks.

• Ability to work independently and possess superior skills in issue resolution.

• Should have the passion to learn and implement, analyze and troubleshoot issues

To be successful in this role, you should possess

• Collaborate closely with Product Management and Engineering leadership to devise and build the

right solution.

• Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big

Data tools and frameworks required to solve Big Data problems at scale.

• Design and implement systems to cleanse, process, and analyze large data sets using distributed

processing tools like Akka and Spark.

• Understanding and critically reviewing existing data pipelines, and coming up with ideas in

collaboration with Technical Leaders and Architects to improve upon current bottlenecks

• Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior

Individual contributor on the multiple products and features we have.

• 3+ years of experience in developing highly scalable Big Data pipelines.

• In-depth understanding of the Big Data ecosystem including processing frameworks like Spark,

Akka, Storm, and Hadoop, and the file types they deal with.

• Experience with ETL and Data pipeline tools like Apache NiFi, Airflow etc.

• Excellent coding skills in Java or Scala, including the understanding to apply appropriate Design

Patterns when required.

• Experience with Git and build tools like Gradle/Maven/SBT.

• Strong understanding of object-oriented design, data structures, algorithms, profiling, and

optimization.

• Have elegant, readable, maintainable and extensible code style.

You are someone who would easily be able to

• Work closely with the US and India engineering teams to help build the Java/Scala based data

pipelines

• Lead the India engineering team in technical excellence and ownership of critical modules; own

the development of new modules and features

• Troubleshoot live production server issues.

• Handle client coordination and be able to work as a part of a team, be able to contribute

independently and drive the team to exceptional contributions with minimal team supervision

• Follow Agile methodology, JIRA for work planning, issue management/tracking

Additional Project/Soft Skills:

• Should be able to work independently with India & US based team members.

• Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.

• Strong sense of urgency, with a passion for accuracy and timeliness.

• Ability to work calmly in high pressure situations and manage multiple projects/tasks.

• Ability to work independently and possess superior skills in issue resolution.

• Should have the passion to learn and implement, analyze and troubleshoot issues

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Shubham Vishwakarma

Full Stack Developer - Averlon

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By submitting my documents for the recruitment process, I agree that my data will be processed for the purpose of the recruitment process and stored for an additional 6 months after the process is completed. Without your consent, we unfortunately cannot consider your documents for the recruitment process. You can revoke your consent at any time. Further information on how we process your data can be found in our privacy policy at the following link: https://tvarit.com/privacy-policy/

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