Data Engineer

Location: Bengaluru

Good day,
We have opportunity for  Date Engineer .

Job Role:

Date Engineer

Job Location:

Synechron  ( Bengaluru BCIT )
Experience-  7 to 15 years
Notice:
Immediate joiner to 15 days.
About Synechron:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than  16,500 professionals  across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.
Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Fin Labs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and Service Now, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our  website  or  Linked In community .

Job Description

Job Title:

Data Engineer – AWS + Hadoop

Location:

Bangalore

Experience:

7+ Years

About the Role
We’re looking for a seasoned  Data Engineer  with hands-on expertise in  AWS data services  and the  Hadoop ecosystem . You will design, build, and optimize batch/streaming data pipelines, enable reliable data ingestion/processing, and support analytics, ML, and BI use cases at scale.

Key Responsibilities
Design and implement  scalable ETL/ELT pipelines  for batch and streaming workloads.
Build data ingestion frameworks using  Kafka/Kinesis , and process data with  Spark  (PySpark/Scala).
Develop and optimize  data lakes  and  data warehouses  on  AWS  (S3, Glue, EMR, Athena, Redshift).
Manage and tune  Hadoop ecosystem  components (HDFS, Hive, Spark, Oozie/Airflow, Sqoop).
Model data (star/snowflake), manage  schemas, partitioning, and metadata ; ensure data quality (DQ checks).
Implement  data governance, security , and  access controls  (IAM, Lake Formation, encryption, key management).
Set up  orchestrations  and  CI/CD  for data jobs (Airflow/AWS Step Functions, Jenkins/Git Hub Actions).
Monitor pipelines and optimize  cost, performance, and reliability  (Cloud Watch, logs, metrics).
Collaborate with Analytics/ML/BI teams; provide high-quality curated datasets and  APIs/Views .
Document solutions, conduct  code reviews , and enforce engineering best practices.

Required

Skills & Qualifications
7+ years  in Data Engineering with large-scale  distributed data  systems.
Strong experience with  AWS data stack :  S3, Glue, EMR, Athena, Lambda, Redshift, IAM, Cloud Watch .
Hands-on with  Hadoop ecosystem :  HDFS, Hive, Spark (PySpark/Scala), Kafka , Oozie/Airflow.
Expertise in  SQL  (complex queries, performance tuning) and  data modeling .
Practical knowledge of  streaming  (Kafka/Kinesis, Spark Streaming/Structured Streaming).

Experience with  Python  or  Scala  for data pipelines;  Shell scripting .
Familiarity with  Orchestration  (Airflow/AWS Step Functions) and  CI/CD  for data jobs.
Strong understanding of  security & governance  (encryption, PII handling, RBAC, Lake Formation).
Proficient with  version control  (Git) and  containers  (Docker) for reproducible jobs.
Excellent problem-solving, communication, and collaboration skills.
To expedite the application process, please share the following details at your earliest convenience:
Tentative date to join (if selected)
Current salary
Expected salary
Total experience
Relevant experience
Official email confirmation of notice period or last working day
Primary skills (hands-on)
Secondary skills
Reason for change
Current location
Preferred location (e.g., Pune, Bengaluru, etc.)
For More information contact –  )