- Location
- Bengaluru - GTP, India
- Type
- Full-time
- Department
- Engineering
- Closing date
- Mar 31, 2026
- Source
- Workday
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/GitHub Actions).
- Monitor pipelines and optimize cost, performance, and reliability (CloudWatch, 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, CloudWatch.
- 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.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
