Manesar Gurugram Haryana Full stack data engineer Jobs – 151 Open Jobs Today

Snr Data Engineer
Alight —Gurugram, Haryana
- SQL
- AWS
- Scripting
1h
IND IT Application Tech lead
Alight —Gurugram, Haryana
- System design
- SQL
- AWS
1h
Expert Senior Manager, Software Engineering
Bain & Co. —Gurugram, Haryana
- Full-time
- System design
- Master's degree
- Travel
Quick apply
7h
Principal Engineer - Frontend
ixigo —Gurugram, Haryana
- Full-time
- Java
- Bachelor's degree
- Machine learning
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4h
Senior Agentic Full-Stack Engineers
NTT Ltd —Gurugram, Haryana
- Java
- Master's degree
- Databases
3h
Senior Agentic Full-Stack Engineers
NTT Ltd —Gurugram, Haryana
- Java
- Master's degree
- Databases
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Software Developer / Engineer (MEAN Stack only)
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Regular code reviews, design discussions, testing feedback, and *continuous improvement *are part of our engineering culture. *Guaranteed Rest*: 36 Off days!
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Full Stack Developer
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Full-stack development: 3 years (Required). Understanding data security best practices. 3-9 years of experience as a Full Stack Developer or similar role.
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Snr Data Engineer

Alight -
Gurugram, Haryana

Apply Now

Job details

1 hour ago

Qualifications

CI/CD
Data modelling
HDFS
Full-stack development
Big data
Spark
Git
Apache Hive
SQL
AWS
Docker
Distributed systems
Scala
Continuous integration
Scripting
GitHub
ETL
Agile
S3
Kafka
Redshift
AI
Communication skills
Data warehouse
Python
Shell Scripting
Hadoop

Full job description

JD – Snr Software Engineer (ETL)

Experience & Expectations :

Leverage extensive experience (4 to 8 years overall ETL experience, to assist in solution design and delivery along with build of new ETLs).
We are seeking an experienced ETL Developer with strong expertise in Big Data (Spark, Cloudera).
Experience orchestrating workflows using AWS Step Functions (state machines) for reliable and scalable data pipelines.
Ability to implement end-to-end serverless data architectures integrating Glue, Lambda, S3, and Redshift

Core Responsibilities :

Build and maintain high volume ETL/ELT pipelines across Hadoop (HDFS, Hive, Spark, Kafka) and AWS (Glue, EMR, Lambda, Step Functions, Redshift).
Develop distributed data processing solutions using PySpark, Spark SQL, and scalable cloud serverless patterns.
Implement reusable data ingestion frameworks for batch, ability to design & implement Orchestration process and Leverage AI
Optimize data workflows using partitioning, bucketing, compression, file formats (Parquet/ORC).
Understanding hybrid data lake architectures using S3 + HDFS, ensuring data governance and best practices are adheres
Experience to deliver complex projects in an Agile environment
Assist in Design and build the robust, scalable and secure software solutions across the having no/least adoption
Define clear technical specifications and make architecture decisions that align with business goals and long-term scalability.
Implement best practices (including secure code guidelines) through the implementation of unit tests, automation, leverage and code reviews. Drive continuous improvement in code quality and maintainability.
Troubleshooting issues and proactively solving problems as they arise, ensuring the smooth operation of full stack applications
Ability to understand the data flow diagram, data modelling and Lineages
Job orchestration using Airflow, Control M, Step Functions, or event-driven triggers.
Ensure data is protected and compliant with regulatory standards.
Work closely with business stakeholders to enable high quality datasets.
Work on best practice adoption and provide guidance to peers/juniors in team.
Ability to respond on incidents, and troubleshooting Spark performance issues, job failures, and cluster bottlenecks.
Collaborate closely with team members, QA and cross product teams to streamline release processes.
Collaborate with business stakeholders to gather, analyse, and translate data into technical solutions

Technical Skills :

Strong experience with the AWS data stack (S3, Glue, EMR, Lambda, Kinesis, Redshift, Step Functions etc.,).
Strong hands-on expertise in Scala, PySpark, Spark optimization techniques, HiveQL, and distributed computing.
Good understanding of Hadoop ecosystem (HDFS, Hive, Spark, YARN, Kafka).
Good work experience in SQL in hive and impala
Proficiency in at least one scripting/programming language: Python, Shell scripting.
Strong experience with CI/CD, GitHub, Git commands.
Expertise in ETL and Data Warehousing and cloud concepts.
Good understanding of data modelling (star/snowflake), partitioning strategies, and schema evolution.
Expertise in data profiling and decision making.
Able to understand, design and create data flow diagrams.
Able to understand the architecture and design end-to-end data flow.
Hands-on experience with Airflow, or Control‑M, or other orchestrators.
To monitor and support BAU and year end activities, if needed.
Exposure to security and compliance aspects in Cloud.
Familiarity with serverless patterns and containerization (Docker, ECS/EKS).

Other Requirements

Strong logical and analytical, problem-solving, and communication skills.
Communicate effectively and concisely with multiple stakeholders and coordinate and collaborate with cross functional teams.
AWS certifications (Data Engineer, or Developer) are a plus.

Detail-Oriented and proactive in problem-solving and issue resolution

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.

Apply Now

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full stack data engineer jobs in manesar gurugram haryana

Snr Data Engineer

IND IT Application Tech lead

Expert Senior Manager, Software Engineering

Principal Engineer - Frontend

Senior Agentic Full-Stack Engineers

Senior Agentic Full-Stack Engineers

Other jobs to consider

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