Sr. Data Engineer

4 weeks ago


hyderabad, India TEKNIKOZ Full time

Greetings from Teknikoz
Experience : 5+ Years

Job Profile:
As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Your role is focused on Design, Development and delivery of solutions involving:
Data Integration, Processing & Governance
Data Storage and Computation Frameworks, Performance Optimizations
Analytics & Visualizations
Infrastructure & Cloud Computing
Data Management Platforms
Implement scalable architectural models for data processing and storage
Build functionality for data ingestion from multiple heterogeneous sources in batch & Realtime mode
Build functionality for data analytics, search and aggregation

Mandatory Experience and Competencies:

Overall 5+ years of IT experience with 3+ years in Data related technologies
Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.
Strong experience in at least of the programming language Java, Scala, Python. Java preferable
Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security referred Experience and Knowledge (Good to Have):

Competency:

Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
Performance tuning and optimization of data pipelines
CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
Cloud data specialty and other related Big data technology certifications

Personal Attributes:

Strong written and verbal communication skills
Articulation skills
Good team player
Self-starter who requires minimal oversight
Ability to prioritize and manage multiple tasks
Process orientation and the ability to define and set up processes



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